path: root/references.bib

@misc{jeanneaux_proprietes_nodate,
	title = {Propriétés des signaux périodiques},
	author = {Jeanneaux, Alain},
	file = {Part-1.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/9FSF45GK/Part-1.mp4:video/mp4;Part-2.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/Z5VNHFW9/Part-2.mp4:video/mp4;Part-3.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/QDTJ67H4/Part-3.mp4:video/mp4}
}

@techreport{grondin_elaboration_2013,
	title = {Élaboration d’un réseau de capteurs pour la mesure des densités de puissance des ondes électromagnétiques dans la bande 2.4 {GHz}},
	author = {Grondin, Patrice Jean Daniel},
	month = aug,
	year = {2013},
	file = {Grondin - 2013 - Élaboration d’un réseau de capteurs pour la mesure.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/EEKFK6FQ/Grondin - 2013 - Élaboration d’un réseau de capteurs pour la mesure.pdf:application/pdf}
}

@misc{noauthor_lorawantm_2016,
	title = {{LoRaWANTM} {Specification}},
	year = {2016},
	file = {LoRaWAN_Regional_Parameters_v1_0-20161012_1397_1.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/IMT7RBQ5/LoRaWAN_Regional_Parameters_v1_0-20161012_1397_1.pdf:application/pdf;LoRaWAN102-20161012_1398_1.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/6SWNTFAM/LoRaWAN102-20161012_1398_1.pdf:application/pdf}
}

@misc{waspmote_waspmote_nodate,
	title = {Waspmote {SX}1272 {Networking} {Guide}},
	author = {Waspmote},
	file = {waspmote_lora_868mhz_915mhz_sx1272_networking_guide.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/9TS677M9/waspmote_lora_868mhz_915mhz_sx1272_networking_guide.pdf:application/pdf}
}

@misc{robert_tdoa_nodate,
	title = {{TDOA} {Localization} {Techniques}},
	author = {Robert, Rick},
	keywords = {TDOA, Time Difference Of Arrival},
	file = {Robert - TDOA Localization Techniques.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/PPUGNN7Q/Robert - TDOA Localization Techniques.pdf:application/pdf}
}

@article{southwood_heart_1999,
	title = {Heart rates and diving behavior of leatherback sea turtles in the eastern {Pacific} {Ocean}},
	volume = {202},
	url = {http://jeb.biologists.org/content/202/9/1115.short},
	number = {9},
	urldate = {2017-05-13},
	journal = {Journal of Experimental Biology},
	author = {Southwood, Amanda L. and Andrews, Russel D. and Lutcavage, Molly E. and Paladino, Frank V. and West, Nigel H. and George, Robert H. and Jones, David R.},
	year = {1999},
	pages = {1115--1125},
	file = {170. HEART RATES AND DIVING BEHAVIOR OF LEATHERBACK SEA TURT.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/KR5JAXMD/170. HEART RATES AND DIVING BEHAVIOR OF LEATHERBACK SEA TURT.pdf:application/pdf}
}

@misc{linklabs_lora_2016,
	title = {{LoRa} {Localization} and {Bandwidth}},
	url = {https://www.link-labs.com/blog/lora-localization},
	journal = {LoRa Localization},
	author = {LinkLabs},
	month = jun,
	year = {2016},
	file = {LinkLabs - 2016 - LinkLabs  LoRa Localization and Bandwidth.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7P97N76M/LinkLabs - 2016 - LinkLabs  LoRa Localization and Bandwidth.pdf:application/pdf}
}

@misc{noauthor_systemes_2010,
	title = {Systèmes de {Géolocalisation}},
	month = jan,
	year = {2010},
	file = {2010 - Systèmes de Géolocalisation.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/EMASD965/2010 - Systèmes de Géolocalisation.pdf:application/pdf}
}

@phdthesis{evennou_techniques_2007,
	title = {Techniques et technologies de localisation avancées pour terminaux mobiles dans les environnements indoor},
	url = {https://tel.archives-ouvertes.fr/tel-00136064/},
	urldate = {2017-03-30},
	school = {Université Joseph-Fourier-Grenoble I},
	author = {Evennou, Frédéric},
	year = {2007},
	file = {Evennou - 2007 - Techniques et technologies de localisation avancée.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/DTQX2Q9P/Evennou - 2007 - Techniques et technologies de localisation avancée.pdf:application/pdf}
}

@inproceedings{tarique_effect_2006,
	title = {Effect of bandwidth and antenna directivity on the range estimation accuracy in a multipath environment},
	volume = {6},
	url = {http://ieeexplore.ieee.org/abstract/document/1683396/},
	urldate = {2017-03-31},
	booktitle = {Vehicular {Technology} {Conference}, 2006. {VTC} 2006-{Spring}. {IEEE} 63rd},
	publisher = {IEEE},
	author = {Tarique, Zunnoor and Malik, Wasim Q. and Edwards, David J.},
	year = {2006},
	pages = {2887--2890},
	file = {Tarique et al. - 2006 - Effect of bandwidth and antenna directivity on the.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/PSK28V8K/Tarique et al. - 2006 - Effect of bandwidth and antenna directivity on the.pdf:application/pdf}
}

@article{tarique_bandwidth_2006,
	title = {Bandwidth requirements for accurate detection of direct path in multipath environment},
	volume = {42},
	issn = {00135194},
	url = {http://digital-library.theiet.org/content/journals/10.1049/el_20063262},
	doi = {10.1049/el:20063262},
	language = {en},
	number = {2},
	urldate = {2017-03-31},
	journal = {Electronics Letters},
	author = {Tarique, Z. and Malik, W.Q. and Edwards, D.J.},
	year = {2006},
	pages = {100},
	file = {Tarique et al. - 2006 - Bandwidth requirements for accurate detection of d.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/H3Q27M9R/Tarique et al. - 2006 - Bandwidth requirements for accurate detection of d.pdf:application/pdf}
}

@misc{waspmote_waspmote_nodate-1,
	title = {Waspmote {SX}1272 {Characteristics}},
	author = {Waspmote},
	file = {waspmote_datasheets.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/TRMQKMD2/waspmote_datasheet.pdf:application/pdf}
}

@misc{semtech_semtech_2015,
	title = {Semtech {SX}1272 {Datasheet}},
	url = {http://www.semtech.com/images/datasheet/sx1272.pdf},
	author = {Semtech},
	year = {2015},
	keywords = {datasheet},
	file = {sx1272.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/XS2NEPDP/sx1272.pdf:application/pdf}
}

@misc{varga_overview_2008,
	title = {An overview of the {OMNET}++ simulation environment},
	author = {Varga, András and Hornig, Rudolf},
	year = {2008},
	file = {AnOverviewOfOMNetpp.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/RJ9NM2H7/AnOverviewOfOMNetpp.pdf:application/pdf}
}

@article{maindonald_using_2001,
	title = {Using {R} for {Data} {Analysis} and {Graphics} {An} {Introduction}},
	volume = {65},
	url = {http://www.voteview.com/pdf/usingR.pdf},
	number = {70},
	urldate = {2017-03-31},
	author = {Maindonald, J. H.},
	year = {2001},
	keywords = {manual},
	pages = {75},
	file = {R_Data_Analysis.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/RHCND5W6/R.pdf:application/pdf}
}

@misc{coulon_telecom-reseaux_2008,
	title = {Télécom-{Réseaux} {Canal} {De} {Propagation}},
	author = {COULON, Martial},
	year = {2008},
	file = {transp_Canal.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/SFQDPW3N/transp_Canal.pdf:application/pdf}
}

@misc{payan_acquisition_2016,
	title = {Acquisition et codage de l’information},
	author = {PAYAN, Frédéric},
	year = {2016},
	file = {2014-cours-etudiants.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/D38D3X3T/2014-cours-etudiants.pdf:application/pdf;2015_Cours_1_Puissance.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/IBD7MGAX/2015_Cours_1_Puissance.pdf:application/pdf;2015_Cours_2_Frequence.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/EXEVG3SV/2015_Cours_2_Frequence.pdf:application/pdf;2107-Cours-etudiants.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/87BNFWFH/2107-Cours-etudiants.pdf:application/pdf}
}

@article{dardari_ranging_2009,
	title = {Ranging {With} {Ultrawide} {Bandwidth} {Signals} in {Multipath} {Environments}},
	volume = {97},
	issn = {0018-9219},
	url = {http://ieeexplore.ieee.org/document/4802191/},
	doi = {10.1109/JPROC.2008.2008846},
	number = {2},
	urldate = {2017-03-31},
	journal = {Proceedings of the IEEE},
	author = {Dardari, Davide and Conti, Andrea and Ferner, Ulric and Giorgetti, Andrea and Win, Moe Z.},
	month = Feb,
	year = {2009},
	pages = {404--426},
	file = {Dardari et al. - 2009 - Ranging With Ultrawide Bandwidth Signals in Multip.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/QGRBCGBU/Dardari et al. - 2009 - Ranging With Ultrawide Bandwidth Signals in Multip.pdf:application/pdf}
}

@inproceedings{deligiannis_implementation_2006,
	title = {An implementation of time of arrivals location positioning technique for {GSM} networks},
	url = {https://pdfs.semanticscholar.org/cd13/be4b841cf639079787c9be7715eaaed6baf4.pdf},
	urldate = {2017-04-14},
	booktitle = {Proceedings of the 5th {WSEAS} {International} {Conference} on {Telecommunications} and {Informatics}, {Istanbul}, {Turkey}},
	author = {Deligiannis, N. and Louvros, S. and Ioannou, K. and Garmpis, A. and Kotsopoulos, S.},
	year = {2006},
	keywords = {TOA},
	pages = {62},
	file = {Deligiannis et al. - 2006 - An implementation of time of arrivals location pos.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/2VKXFQ3W/Deligiannis et al. - 2006 - An implementation of time of arrivals location pos.pdf:application/pdf}
}

@article{s_time_2013,
	title = {Time of {Arrival} {Based} {Localization} in {Wireless} {Sensor} {Networks}: {A} {Linear} {Approach}},
	volume = {4},
	issn = {22293922, 0976710X},
	shorttitle = {Time of {Arrival} {Based} {Localization} in {Wireless} {Sensor} {Networks}},
	url = {http://www.aircconline.com/sipij/V4N4/4413sipij02.pdf},
	doi = {10.5121/sipij.2013.4402},
	number = {4},
	urldate = {2017-04-14},
	journal = {Signal \& Image Processing : An International Journal},
	author = {S, Ravindra and S N, Jagadeesha},
	month = aug,
	year = {2013},
	keywords = {TOA},
	pages = {13--30},
	file = {S et S N - 2013 - Time of Arrival Based Localization in Wireless Sen.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/VRJ5INJF/S et S N - 2013 - Time of Arrival Based Localization in Wireless Sen.pdf:application/pdf}
}

@misc{noauthor_cramer_2014,
	title = {Cramer {Rao} {Bounds} {ECE} 830},
	year = {2014},
	file = {CRLB.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/P3S4K9GH/CRLB.pdf:application/pdf}
}

@misc{noauthor_cramer-rao_nodate,
	title = {Cramer-{Rao} {Lower} {Bound}},
	file = {CRLB2.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/MAEIA7JW/CRLB2.pdf:application/pdf}
}

@misc{noauthor_notes_nodate,
	title = {Notes {Cramer} {Rao} {Bounds}},
	file = {CRLB3.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/GSEQNMGH/CRLB3.pdf:application/pdf}
}

@article{hochscheid_reptilian_1999,
	title = {Reptilian diving: highly variable dive patterns in the green turtle {Chelonia} mydas},
	volume = {185},
	shorttitle = {Reptilian diving},
	url = {http://www.int-res.com/abstracts/meps/v185/p101-112/},
	urldate = {2017-04-21},
	journal = {Marine Ecology Progress Series},
	author = {Hochscheid, S. and Godley, B. J. and Broderick, A. C. and Wilson, Rory P.},
	year = {1999},
	pages = {101--112},
	file = {m185p101.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/PEP8QWB7/m185p101.pdf:application/pdf}
}

@article{hays_diving_2000,
	title = {The diving behaviour of green turtles at {Ascension} {Island}},
	volume = {59},
	issn = {00033472},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S000334729991326X},
	doi = {10.1006/anbe.1999.1326},
	language = {en},
	number = {3},
	urldate = {2017-04-21},
	journal = {Animal Behaviour},
	author = {Hays, Graeme C. and Adams, Colin R. and Broderick, Annette C. and Godley, Brendan J. and Lucas, David J. and Metcalfe, Julian D. and Prior, Andrea A.},
	month = mar,
	year = {2000},
	pages = {577--586},
	file = {hays_ab2000.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/P5GAZZ23/hays_ab2000.pdf:application/pdf}
}

@article{charbit_communications_2005,
	title = {Communications {Numériques} et {Théorie} de l’{Information}},
	url = {http://perso.telecom-paristech.fr/~rodrigez/resources/cnti_com105/cnti_poly.pdf},
	urldate = {2017-05-17},
	author = {Charbit, Maurice},
	year = {2005},
	file = {canthic.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/9MBUACMW/canthic.pdf:application/pdf}
}

@misc{elmsiyah_modlisation_nodate,
	title = {{MODLISATION} {ET} {SIMULATION} {D}’{UNE} {CHAINE} {DE} {TRANSMISSION} {NUMERIQUE} ({CDMA}) {SOUS} {MATLAB}/{SIMULINK}},
	author = {Elmsiyah, Soufian},
	keywords = {spreading factor, étalement de spectre},
	file = {MODLISATION ET SIMULATION D’UNE CHAINE DE TRANSMISSION NUMERIQUE (CDMA) SOUS MATLAB/SIMULINK:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/68GTJFD9/MODLISATION_ET_SIMULATION_D_UNE_CHAINE_D.pdf:application/pdf}
}

@techreport{grondin_elaboration_2012,
	title = {Élaboration d’un réseau de capteurs pour la mesure des densités de puissance des ondes électromagnétiques dans la bande 2.4 {GHz}},
	author = {Grondin, Patrice Jean Daniel},
	year = {2012},
	file = {Rapport_Grondin_Patrice_Jean_Daniel.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/4RT322B6/Rapport_Jean.pdf:application/pdf}
}

@misc{mahjoub_analyse_nodate,
	title = {Analyse des signaux non périodiques.pdf},
	author = {Mahjoub, Dridi},
	file = {Analyse des signaux non périodiques.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/52AUF8HI/nalyse des signaux non périodiques.pdf:application/pdf}
}

@book{venables_introduction_2009,
	title = {An introduction to {R}},
	url = {http://dl.acm.org/citation.cfm?id=1643582},
	urldate = {2017-05-29},
	publisher = {Network Theory Ltd.},
	author = {Venables, William N. and Smith, David M.},
	year = {2009},
	file = {R-intro.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/GFJNV8WA/R-intro.pdf:application/pdf}
}

@misc{jipihorn_fourier_nodate,
	title = {Fourier, {Laplace} et compagnie ({II}) {Séries} et transformée de {Fourier}},
	author = {Jipihorn},
	file = {99 - Fourier, Laplace et compagnie (II)  Séries et transformée de Fourier.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7TI7VE86/99 - Fourier, Laplace et compagnie (II)  Séries et transformée de Fourier.mp4:video/mp4}
}

@misc{noauthor_cdma_nodate,
	title = {{CDMA} {Quick} {Basics}},
	file = {CDMA.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/WRIK5I4M/CDMA.mp4:video/mp4}
}

@misc{semtech_semtech_nodate,
	title = {Semtech {SX}1276 {Datasheet}},
	url = {http://www.semtech.com/images/datasheet/sx1276.pdf},
	author = {Semtech},
	file = {sx1276.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/N4IH9GRR/sx1276.pdf:application/pdf}
}

@misc{department_of_defense_global_2007,
	title = {Global {Positioning} {System} {Precise} {Positioning} {Service} performance standard},
	url = {http://www.gps.gov/},
	abstract = {PPS Technology},
	author = {Department Of Defense},
	month = feb,
	year = {2007},
	file = {Department Of Defense - 2007 - GLOBAL POSITIONING SYSTEM PRECISE POSITIONING SERV.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/XBFN4GCU/Department Of Defense - 2007 - GLOBAL POSITIONING SYSTEM PRECISE POSITIONING SERV.pdf:application/pdf}
}

@misc{department_of_defense_global_2008,
	title = {Global {Positioning} {System} {Standard} {Positioning} {Service} performance standard},
	url = {http://www.gps.gov/},
	abstract = {SPS Technology},
	author = {Department Of Defense},
	month = sep,
	year = {2008},
	file = {Department Of Defense - 2008 - GLOBAL POSITIONING SYSTEM STANDARD POSITIONING SER.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/CXPD39QV/Department Of Defense - 2008 - GLOBAL POSITIONING SYSTEM STANDARD POSITIONING SER.pdf:application/pdf}
}

@misc{dronepic_what_nodate,
	title = {What is {DGPS} {Differential} {GPS}? {How} does it work? {DGPS} {PDF}},
	author = {Dronepic},
	file = {Dronepic - What is DGPS Differential GPS How does it work D.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/Z723BWKM/Dronepic - What is DGPS Differential GPS How does it work D.pdf:application/pdf}
}

@article{tomkiewicz_global_2010,
	title = {Global positioning system and associated technologies in animal behaviour and ecological research},
	volume = {365},
	issn = {0962-8436, 1471-2970},
	url = {http://rstb.royalsocietypublishing.org/cgi/doi/10.1098/rstb.2010.0090},
	doi = {10.1098/rstb.2010.0090},
	language = {en},
	number = {1550},
	urldate = {2017-06-21},
	journal = {Philosophical Transactions of the Royal Society B: Biological Sciences},
	author = {Tomkiewicz, S. M. and Fuller, M. R. and Kie, J. G. and Bates, K. K.},
	month = jul,
	year = {2010},
	pages = {2163--2176},
	file = {Tomkiewicz et al. - 2010 - Global positioning system and associated technolog.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/XIKWC6CU/Tomkiewicz et al. - 2010 - Global positioning system and associated technolog.pdf:application/pdf}
}

@article{dujon_accuracy_2014,
	title = {The accuracy of {Fastloc}-{GPS} locations and implications for animal tracking},
	volume = {5},
	issn = {2041210X},
	url = {http://doi.wiley.com/10.1111/2041-210X.12286},
	doi = {10.1111/2041-210X.12286},
	language = {en},
	number = {11},
	urldate = {2017-06-21},
	journal = {Methods in Ecology and Evolution},
	author = {Dujon, Antoine M. and Lindstrom, R. Todd and Hays, Graeme C.},
	editor = {Backwell, Patricia},
	month = nov,
	year = {2014},
	pages = {1162--1169},
	file = {Dujon et al. - 2014 - The accuracy of Fastloc-GPS locations and implicat.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/RGI8HD67/Dujon et al. - 2014 - The accuracy of Fastloc-GPS locations and implicat.pdf:application/pdf}
}

@article{zhu_rssi-based_2013,
	title = {{RSSI}-based {Algorithm} for {Indoor} {Localization}},
	volume = {05},
	issn = {1949-2421, 1947-3826},
	url = {http://www.scirp.org/journal/PaperDownload.aspx?DOI=10.4236/cn.2013.52B007},
	doi = {10.4236/cn.2013.52B007},
	number = {02},
	urldate = {2017-06-21},
	journal = {Communications and Network},
	author = {Zhu, Xiuyan and Feng, Yuan},
	year = {2013},
	keywords = {POA},
	pages = {37--42},
	file = {Zhu et Feng - 2013 - RSSI-based Algorithm for Indoor Localization.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/PHJM963T/Zhu et Feng - 2013 - RSSI-based Algorithm for Indoor Localization.pdf:application/pdf}
}

@misc{cheriet_localization_nodate,
	title = {Localization in a {Wireless} {Sensor} {Network} based on {RSSI} and a decision tree},
	author = {CHERIET, Amine and OUSLIM, Mohamed and AIZI, Kamel},
	keywords = {POA},
	file = {CHERIET et al. - Localization in a Wireless Sensor Network based on.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/8R8NUXJG/CHERIET et al. - Localization in a Wireless Sensor Network based on.pdf:application/pdf}
}

@inproceedings{chung_enhanced_2007,
	title = {Enhanced {RSSI}-based real-time user location tracking system for indoor and outdoor environments},
	url = {http://ieeexplore.ieee.org/abstract/document/4420422/},
	urldate = {2017-06-21},
	booktitle = {Convergence {Information} {Technology}, 2007. {International} {Conference} on},
	publisher = {IEEE},
	author = {Chung, Wan-Young and {others}},
	year = {2007},
	keywords = {POA},
	pages = {1213--1218},
	file = {Chung et others - 2007 - Enhanced RSSI-based real-time user location tracki.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/UP2T7TMC/Chung et others - 2007 - Enhanced RSSI-based real-time user location tracki.pdf:application/pdf}
}

@techreport{jackson_emitter_2011,
	address = {Canada},
	title = {Emitter geolocation estimation using power difference of arrival},
	language = {English},
	number = {DRDC Ottawa TR 2011-040},
	institution = {Defence R\&D Canada},
	author = {Jackson, B.R. and Wang, S. and Inkol, R.},
	month = may,
	year = {2011},
	keywords = {POA},
	pages = {80},
	file = {B.R. et al. - 2011 - Emitter geolocation estimation using power differe.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/W9UM4HUB/B.R. et al. - 2011 - Emitter geolocation estimation using power differe.pdf:application/pdf}
}

@article{kaune_accuracy_2012,
	address = {Singapore},
	title = {Accuracy {Studies} for {TDOA} and {TOA} {Localization}},
	abstract = {In sensor networks, passive localization can be
performed by exploiting the received signals of unknown emitters.
In this paper, the Time of Arrival (TOA) measurements are
investigated. Often, the unknown time of emission is eliminated
by calculating the difference between two TOA measurements
where Time Difference of Arrival (TDOA) measurements are
obtained. In TOA processing, additionally, the unknown time
of emission is to be estimated. Therefore, the target state is
extended by the unknown time of emission. A comparison is
performed investigating the attainable accuracies for localization
based on TDOA and TOA measurements given by the Cramér-
Rao Lower Bound (CRLB). Using the Maximum Likelihood
estimator, some characteristic features of the cost functions
are investigated indicating a better performance of the TOA
approach. But counterintuitive, Monte Carlo simulations do not
support this indication, but show the comparability of TDOA
and TOA localization.},
	language = {English},
	journal = {IEEE},
	author = {Kaune, Regina},
	month = aug,
	year = {2012},
	file = {Kaune - 2012 - Accuracy Studies for TDOA and TOA Localization.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/KDRPD8P6/Kaune - 2012 - Accuracy Studies for TDOA and TOA Localization.pdf:application/pdf}
}

@phdthesis{aatique_evaluation_1997,
	title = {Evaluation of {TDOA} techniques for position location in {CDMA} systems},
	url = {https://trac.v2.nl/export/7877/andres/Documentation/TDOA/Eval_of_TDOA_for_CDMA-aatique.pdf},
	urldate = {2017-06-23},
	school = {Virginia Polytechnic Institute and State University},
	author = {Aatique, Muhammad},
	year = {1997},
	file = {Aatique - 1997 - Evaluation of TDOA techniques for position locatio.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/UP5XB9EC/Aatique - 1997 - Evaluation of TDOA techniques for position locatio.pdf:application/pdf}
}

@incollection{shao_tdoa/fdoa_2010,
	title = {{TDOA}/{FDOA} geolocation with adaptive extended {Kalman} filter},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-17625-8_23},
	urldate = {2017-06-23},
	booktitle = {Grid and {Distributed} {Computing}, {Control} and {Automation}},
	publisher = {Springer},
	author = {Shao, Hongshuo and Kim, Dongkyun and You, Kwanho},
	year = {2010},
	pages = {226--235},
	file = {5.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/GMJCE3DF/5.pdf:application/pdf}
}

@book{proakis_digital_2008,
	address = {Boston, Mass.},
	edition = {5. ed},
	title = {Digital communications},
	isbn = {978-0-07-295716-7},
	language = {eng},
	publisher = {McGraw-Hill},
	author = {Proakis, John G. and Salehi, Masoud},
	year = {2008},
	note = {OCLC: 254796470},
	keywords = {Digitale Nachrichtentechnik, Digital communications, Informationsübertragung},
	file = {digital-communication-proakis-salehi-5th-edition.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/JD793G4J/digital-communication-proakis-salehi-5th-edition.pdf:application/pdf}
}

@article{s.k.hima_geolocation_2014,
	title = {Geolocation using {TDOA} and {FDOA} {Measurements} in sensor networks {Using} {Non}-{Linear} {Elements}},
	issn = {2231-5381},
	abstract = {Passive geo-location of communication emitters provides great benefits to military and civilian surveillance and security
operations. Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) measurement combination for
stationary emitters may be obtained by sensors mounted on mobile platforms, for example on a pair of UAVs. Complex
Ambiguity Function (CAF) of received complex signal scan be efficiently calculated to provide required TDOA / FDOA
measurement combination. TDOA and FDOA measurements are nonlinear in the sense that the emitter uncertainty given
measurements in the Cartesian domain is non-Gaussian. Multiple non-linear measurements of emitter location need to be fused to
provide the geo-location estimates. Gaussian Mixture Measurement(GMM) filter fuses nonlinear measurements as long as the
uncertainty of each measurement in the surveillance (Cartesian)space is modeled by a Gaussian},
	journal = {IJETT},
	author = {S.K.Hima, Bindhu and P.Prasanna, Murali Krishna},
	month = aug,
	year = {2014},
	pages = {5},
	file = {S.K.Hima et P.Prasanna - 2014 - Geolocation using TDOA and FDOA Measurements in se.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/UI66GKBN/S.K.Hima et P.Prasanna - 2014 - Geolocation using TDOA and FDOA Measurements in se.pdf:application/pdf}
}

@misc{technical_marketing_workgroup_1.0_technical_2015,
	title = {A technical overview of {LoRa} and {LoRaWAN}},
	publisher = {Lora Alliance},
	author = {Technical Marketing Workgroup 1.0},
	month = nov,
	year = {2015},
	file = {LoRaWAN101.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/QWM62H22/LoRaWAN101.pdf:application/pdf}
}

@book{pakin_comprehensive_2009,
	title = {The comprehensive {LATEX} symbol list},
	url = {https://poisson.dm.unipi.it/~steffe/DIDA/cmc-2014-15/MANUALI/symbols-letter.pdf},
	urldate = {2017-06-27},
	author = {Pakin, Scott},
	year = {2009},
	file = {symbols-a4.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/6B3FM45D/symbols-a4.pdf:application/pdf}
}

@misc{noauthor_les_2011,
	title = {Les îles éparses},
	url = {http://anciensite.taaf.fr/spip/IMG/pdf/livret_eparses_version_def_internet2.pdf},
	language = {Français},
	publisher = {Terres Australes et Antarctiques Françaises (TAAF)},
	month = jul,
	year = {2011},
	file = {livret_eparses_version_def_internet2.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/34DQRERH/livret_eparses_version_def_internet2.pdf:application/pdf}
}

@misc{noauthor_how_nodate,
	title = {How {LORAN} {Works}},
	keywords = {LORAN},
	file = {How LORAN Works.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/3ZQHNZQ8/How LORAN Works.mp4:video/mp4}
}

@book{redenour_long_1948,
	address = {New York Toronto London},
	title = {Long {Range} {Navigation} ({LORAN})},
	language = {Anglais},
	author = {Redenour, Louis N.},
	year = {1948},
	keywords = {LORAN},
	file = {MIT-Radiation-Lab-Series-V4-Long-Range-Navigation-LORAN(1).pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/8CDQ2NN3/MIT-Radiation-Lab-Series-V4-Long-Range-Navigation-LORAN(1).pdf:application/pdf}
}

@misc{skylab_gps_nodate,
	title = {{GPS} {Module} {Datasheet} {SKG}09A {Datasheet} {Ultra} {High} {Sensitivity} and {Low} {Power} {GPS} {Receiver} {Module}},
	url = {http://www.skylab.com.cn/uploadfile/Download/201507011013410521.pdf},
	author = {Skylab},
	keywords = {SKG09A, GPS},
	file = {201507011013410521.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/FMTWHM58/201507011013410521.pdf:application/pdf}
}

@misc{peberay_presentation_1979,
	title = {Présentation des balises {Argos}},
	url = {http://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers11-03/03308.pdf},
	urldate = {2017-07-03},
	author = {Peberay, Michel},
	year = {1979},
	file = {03308.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/ASSRQMZ3/03308.pdf:application/pdf}
}

@misc{noauthor_argos_nodate,
	title = {Argos - {Worldwide} tracking and environmental monitoring by satellite},
	url = {http://www.argos-system.org/},
	journal = {Argos - Worldwide tracking and environmental monitoring by satellite}
}

@misc{noauthor_argos-mission_nodate,
	title = {Argos-mission {\textbar} {Le} site du {Centre} national d'études spatiales},
	url = {https://argos-mission.cnes.fr/},
	journal = {Argos-mission {\textbar} Le site du Centre national d'études spatiales}
}

@misc{guegan_integrating_2017,
	title = {Integrating {Over} {Sea} {Radio} {Channel} for {Sea} {Turtles} {Localization} in the {Indian} {Ocean}},
	abstract = {This paper deals with the modeling of over sea radio
channel with the aim of establishing sea turtle localization off the
coast of Reunion Island but also on Europa Island in the
Mozambique Channel. In order to model this radio channel, we
are making a measurement protocol. In a first approach,
measurements of turtle trajectory were done over land and
finally it will be conducted over sea. We have scheduled an over
sea measurement campaign in the middle of June. This paper
shows a signal cross correlation technique used to characterize
the over sea propagation channel.},
	language = {Anglais},
	author = {Guegan, Loic and Murad, Nour Mohammad and Lebreton, Jean Mickael and Bonhommeau, Sylvain},
	year = {2017},
	file = {PID4825605.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/SS5PMZRP/PID4825605.pdf:application/pdf}
}

@misc{noauthor_conic_nodate,
	title = {Conic section 3D {Animation}},
	file = {Conic Section 3D Animation.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/X5S4C4WR/Conic Section 3D Animation.mp4:video/mp4}
}

@inproceedings{gustafsson_positioning_2003,
	title = {Positioning using time-difference of arrival measurements},
	volume = {6},
	url = {http://ieeexplore.ieee.org/abstract/document/1201741/},
	urldate = {2017-07-07},
	booktitle = {Acoustics, {Speech}, and {Signal} {Processing}, 2003. {Proceedings}.({ICASSP}'03). 2003 {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Gustafsson, Fredrik and Gunnarsson, Fredrik},
	year = {2003},
	pages = {VI--553},
	file = {Gustafsson et Gunnarsson - 2003 - Positioning using time-difference of arrival measu.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/VHSPETER/Gustafsson et Gunnarsson - 2003 - Positioning using time-difference of arrival measu.pdf:application/pdf}
}

@inproceedings{drake_geolocation_2004,
	title = {Geolocation by time difference of arrival using hyperbolic asymptotes},
	volume = {2},
	url = {http://ieeexplore.ieee.org/abstract/document/1326269/},
	urldate = {2017-07-07},
	booktitle = {Acoustics, {Speech}, and {Signal} {Processing}, 2004. {Proceedings}.({ICASSP}'04). {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Drake, Samuel R. and Dogancay, Kutluyil},
	year = {2004},
	pages = {ii--361},
	file = {db4e7b5f987d5d35fb2943310d03c3b25582.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/SZI7ZWHQ/db4e7b5f987d5d35fb2943310d03c3b25582.pdf:application/pdf}
}

@book{miesterfeld_serial_1988,
	title = {Serial data bus for serial communication interface ({SCI}), serial peripheral interface ({SPI}) and buffered {SPI} modes of operation},
	url = {http://www.google.com/patents/US4739323},
	urldate = {2017-07-12},
	publisher = {Google Patents},
	author = {Miesterfeld, Frederick OR and McCambridge, John M. and Fassnacht, Ronald E. and Nasiadka, Jerry M.},
	month = apr,
	year = {1988},
	keywords = {SPI},
	file = {S12SPIV3.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/H7GFXGUF/S12SPIV3.pdf:application/pdf}
}

@article{walker_system_1979,
	title = {A system theoretic approach to the management of complex organizations: {Management} by exception, priority, and input span in a class of fixed-structure models},
	volume = {24},
	shorttitle = {A system theoretic approach to the management of complex organizations},
	url = {http://onlinelibrary.wiley.com/doi/10.1002/bs.3830240205/full},
	number = {2},
	urldate = {2017-08-15},
	journal = {Systems Research and Behavioral Science},
	author = {Walker, Crayton C. and Gelfand, Alan E.},
	year = {1979},
	pages = {112--120},
	file = {Walker_et_al-1979-Behavioral_Science.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/ACHUHDJM/Walker_et_al-1979-Behavioral_Science.pdf:application/pdf}
}

@misc{noauthor_intel_2017,
	title = {Intel® 64 and {IA}-32 {Architectures} {Software} {Developer}’s {Manual}},
	shorttitle = {{SDM}},
	url = {https://software.intel.com/en-us/articles/intel-sdm},
	abstract = {Four-Volume Set of Intel® 64 and IA-32 Architectures Software Developer’s Manuals.
This set consists of volume 1, volume 2 (combined 2A, 2B, 2C, and 2D), 
volume 3 (combined 3A, 3B, 3C, and 3D), and volume 4. 
This set allows for easier navigation of the instruction set reference and system
programming guide through functional cross-volume table of contents, references, and index.},
	language = {English},
	publisher = {Intel},
	year = {2017},
	file = {SDM-Vol1.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/KA8J7GHU/SDM-Vol1.pdf:application/pdf;SDM-Vol2.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/MUHT46GC/SDM-Vol2.pdf:application/pdf;SDM-Vol3.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/66BIHENJ/SDM-Vol3.pdf:application/pdf;SDM-Vol4.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/BKB58GPG/SDM-Vol4.pdf:application/pdf}
}

@misc{noauthor_gateways_nodate,
	title = {Gateways {Position} and {Marine} {Radio} {Channel} {Effects} on the {Green} {Turtle} {Trajectory} {Estimation}},
	file = {article.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/3PG39QKF/article.pdf:application/pdf}
}

@misc{noauthor_nmea_nodate,
	title = {{NMEA} 183},
	file = {trames NMEA183.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/IFX6HXJF/trames NMEA183.pdf:application/pdf}
}

@inproceedings{musicki_geolocation_2008,
	title = {Geolocation using {TDOA} and {FDOA} measurements},
	booktitle = {Information {Fusion}, 2008 11th {International} {Conference} {On}},
	publisher = {IEEE},
	author = {Musicki, Darko and Koch, Wolfgang},
	year = {2008},
	pages = {1--8},
	file = {04632455.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7CP73UUZ/04632455.pdf:application/pdf}
}

@article{huang_multipath_2016,
	title = {Multipath {Channel} {Model} for {Radio} {Propagation} over {Sea} {Surface}},
	volume = {90},
	issn = {0929-6212, 1572-834X},
	url = {http://link.springer.com/10.1007/s11277-016-3343-4},
	doi = {10.1007/s11277-016-3343-4},
	language = {en},
	number = {1},
	urldate = {2017-11-08},
	journal = {Wireless Personal Communications},
	author = {Huang, Fang and Liao, Xuefei and Bai, Yong},
	month = sep,
	year = {2016},
	pages = {245--257},
	file = {s11277-016-3343-4.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/VSRRPM3Y/s11277-016-3343-4.pdf:application/pdf}
}

@inproceedings{wu_ray_2015,
	title = {Ray {Tracing} {Based} {Wireless} {Channel} {Modeling} over the {Sea} {Surface} near {Diaoyu} {Islands}},
	isbn = {978-1-4673-8600-5},
	url = {http://ieeexplore.ieee.org/document/7473100/},
	doi = {10.1109/CCITSA.2015.35},
	urldate = {2017-11-08},
	publisher = {IEEE},
	author = {Wu, Yanyang and Gao, Zhibin and Chen, Canbin and Huang, Lianfen and Chiang, Hua-Pei and Huang, Yueh-Min and Sun, Hao},
	month = dec,
	year = {2015},
	pages = {124--128},
	file = {07473100.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/P6X8ND4Y/07473100.pdf:application/pdf}
}

@book{shelby_6lowpan:_2009,
	address = {Chichester, U.K},
	series = {Wiley series in communications networking \& distributed systems},
	title = {6LoWPAN: the wireless embedded internet},
	isbn = {978-0-470-74799-5},
	shorttitle = {6LoWPAN},
	publisher = {J. Wiley},
	author = {Shelby, Zach and Bormann, Carsten},
	year = {2009},
	note = {OCLC: ocn426797165},
	keywords = {Low voltage systems, Standards, Wireless communication systems, Wireless Internet},
	file = {6LoWPAN_The Wireless Embedded Internet.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/D63AIWNF/6LoWPAN_The Wireless Embedded Internet.pdf:application/pdf}
}

@misc{buttrich_calcul_nodate,
	title = {Calcul du bilan de liaison radio},
	author = {Büttrich, Sebastian},
	file = {Büttrich - Calcul du bilan de liaison radio.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/B7BNGWBX/Büttrich - Calcul du bilan de liaison radio.pdf:application/pdf}
}

@misc{bachelier_premier_nodate,
	title = {Un premier pas en traitement du signal},
	author = {BACHELIER, Olivier},
	file = {Un premier pas en traitement du signal.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/WPZRA3P6/TdS_MP.pdf:application/pdf}
}

@misc{noauthor_overview_2016,
	title = {Overview of {IoT} {LPWAN}  technologies ({Low} {Power} {Wide} {Area} {Network}) {SIGFOX} \& {LoRa}},
	year = {2016},
	file = {2016 - Overview of IoT LPWAN  technologies (Low Power Wid.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7NR3MDCR/2016 - Overview of IoT LPWAN  technologies (Low Power Wid.pdf:application/pdf))}
}

@misc{noauthor_comprehensive_2016,
	title = {A comprehensive look at {Low} {Power}, {Wide} {Area} {Networks}},
	publisher = {Linklabs},
	year = {2016},
	file = {2016 - A comprehensive look at Low Power, Wide Area Netwo.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/I4MIVZFX/2016 - A comprehensive look at Low Power, Wide Area Netwo.pdf:application/pdf}
}

@article{stankovic_research_2014,
	title = {Research {Directions} for the {Internet} of {Things}},
	volume = {1},
	issn = {2327-4662},
	doi = {10.1109/JIOT.2014.2312291},
	abstract = {Many technical communities are vigorously pursuing research topics that contribute to the Internet of Things (IoT). Nowadays, as sensing, actuation, communication, and control become even more sophisticated and ubiquitous, there is a significant overlap in these communities, sometimes from slightly different perspectives. More cooperation between communities is encouraged. To provide a basis for discussing open research problems in IoT, a vision for how IoT could change the world in the distant future is first presented. Then, eight key research topics are enumerated and research problems within these topics are discussed.},
	number = {1},
	journal = {IEEE Internet of Things Journal},
	author = {Stankovic, J. A.},
	month = feb,
	year = {2014},
	keywords = {Actuators, Cyber physical systems, Internet, Internet of Things, Internet of Things (IoT), IoT, Mobile computing, Network security, pervasive computing, Privacy, Real-time systems, Rersearch and development, Wireless sensor networks},
	pages = {3--9}
}

@article{gluhak_survey_2011,
	title = {A survey on facilities for experimental internet of things research},
	volume = {49},
	issn = {0163-6804},
	doi = {10.1109/MCOM.2011.6069710},
	abstract = {The initial vision of the Internet of Things was of a world in which all physical objects are tagged and uniquely identified by RFID transponders. However, the concept has grown into multiple dimensions, encompassing sensor networks able to provide real-world intelligence and goal-oriented collaboration of distributed smart objects via local networks or global interconnections such as the Internet. Despite significant technological advances, difficulties associated with the evaluation of IoT solutions under realistic conditions in real-world experimental deployments still hamper their maturation and significant rollout. In this article we identify requirements for the next generation of IoT experimental facilities. While providing a taxonomy, we also survey currently available research testbeds, identify existing gaps, and suggest new directions based on experience from recent efforts in this field.},
	number = {11},
	journal = {IEEE Communications Magazine},
	author = {Gluhak, A. and Krco, S. and Nati, M. and Pfisterer, D. and Mitton, N. and Razafindralambo, T.},
	month = nov,
	year = {2011},
	keywords = {Internet, Wireless sensor networks, distributed smart objects, global interconnections, goal-oriented collaboration, Internet of things research, IoT solutions, local networks, radiofrequency identification, real-world experimental deployments, real-world intelligence, realistic conditions, Research and development, RFID transponders, sensor networks, Servers, Tagging, taxonomy, transponders, Wireless communication},
	pages = {58--67}
}

@article{al-fuqaha_internet_2015,
	title = {Internet of {Things}: {A} {Survey} on {Enabling} {Technologies}, {Protocols}, and {Applications}},
	volume = {17},
	issn = {1553-877X},
	shorttitle = {Internet of {Things}},
	doi = {10.1109/COMST.2015.2444095},
	abstract = {This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.},
	number = {4},
	journal = {IEEE Communications Surveys Tutorials},
	author = {Al-Fuqaha, A. and Guizani, M. and Mohammadi, M. and Aledhari, M. and Ayyash, M.},
	year = {2015},
	keywords = {Internet of Things, Internet of Things (IoT), IoT, radiofrequency identification, Fog computing, AMQP, big data analytics, cloud computing, CoAP, communication technologies, Computer architecture, DDS, intelligent decision making, Intelligent sensors, Internet protocols, IoT Gateway, M2M technologies, machine-to-machine, mDNS, mobile communication, MQTT, protocols, RFID, smart sensors, XMPP},
	pages = {2347--2376}
}

@inproceedings{looga_mammoth:_2012,
	title = {{MAMMOTH}: {A} massive-scale emulation platform for {Internet} of {Things}},
	volume = {03},
	shorttitle = {{MAMMOTH}},
	doi = {10.1109/CCIS.2012.6664581},
	abstract = {Internet of Things (IoT) is increasingly used in a plethora of fields to enable radically new ways for various purposes, ranging from monitoring the environment to enhancing the wellbeing of human life. With the ever-increasing size of such networks, it is fundamental to understand the issues that come with scaling on different networking layers. A cost-efficient approach to examine large-scale networks is to use simulators or emulators to test the infrastructure and its ability to support the desired applications. In this paper, we investigate and compare the currently available simulation/emulation software. We found out that the current solutions are mostly appropriate for small- and medium-scale emulation, however they are not suitable for large-scale testing that reaches millions of node running concurrently. We then propose a large-scale IoT emulator called MAMMotH and present a brief overview of its design. Finally we discuss some of the current issues and future directions, e.g. radio link simulation.},
	booktitle = {2012 {IEEE} 2nd {International} {Conference} on {Cloud} {Computing} and {Intelligence} {Systems}},
	author = {Looga, V. and Ou, Z. and Deng, Y. and Ylä-Jääski, A.},
	month = Oct,
	year = {2012},
	keywords = {Internet, Internet of Things, Internet of Things (IoT), Wireless sensor networks, Computational modeling, cost-efficient approach, digital simulation, Emulation, Hardware, infrastructure testing, large-scale emulation, large-scale IoT emulator, large-scale networks, large-scale testing, MAMMOTH, massive-scale emulation platform, medium-scale emulation, networking layers, Radio link, radio link simulation, simulation, simulation-emulation software, Software, Testing},
	pages = {1235--1239}
}

@inproceedings{kouche_towards_2012,
	title = {Towards a wireless sensor network platform for the {Internet} of {Things}: {Sprouts} {WSN} platform},
	shorttitle = {Towards a wireless sensor network platform for the {Internet} of {Things}},
	doi = {10.1109/ICC.2012.6364196},
	abstract = {This paper describes a WSN platform architecture uniquely designed and implemented for the Internet of Things (IoTs). The paper elaborates on all the architectural design decisions and challenges across the three major divisions of the platform, that is, the middleware, hardware, and network layer. The result of this research is a unique WSN platform, Sprouts, which is rugged, cost effective, versatile, open source, and multistandard WSN platform that offers a step forward towards interoperable WSN platforms for the IoTs. Sprouts' architecture leverages state of the art technologies in hardware and network standards and builds upon our module-oriented DREAMS middleware architecture. Sprouts presents a much needed new approach that is different than the de-facto MSP430/AVR and Zigbee-based WSNs, and we discusses the reasons behind the necessary changes to meet the needs of IoT. Sprouts was tested in the harsh industrial environment of the Oil-Sands and showcased at the Ontario Centre of Excellence (OCE) Discovery of 2011.},
	booktitle = {2012 {IEEE} {International} {Conference} on {Communications} ({ICC})},
	author = {Kouche, A. E.},
	month = jun,
	year = {2012},
	keywords = {Standards, Internet of Things, IoT, Wireless sensor networks, Computer architecture, RFID, Hardware, Applications, architectural design decisions, Architecture, de-facto MSP430/AVR, Embedded Systems, Energy harvesting, Industrial, middleware, module-oriented DREAMS middleware architecture, Network, Oil Sands, Ontario Centre of Excellence, Platform, Remote Trigger, Sprouts, wireless sensor network platform, WSN, WSN platform architecture, Zigbee, Zigbee-based WSN},
	pages = {632--636}
}

@inproceedings{han_dpwsim:_2014,
	title = {{DPWSim}: {A} simulation toolkit for {IoT} applications using devices profile for web services},
	shorttitle = {{DPWSim}},
	doi = {10.1109/WF-IoT.2014.6803226},
	abstract = {The OASIS standard Devices Profile for Web Services (DPWS) enables the use of Web services on smart and resource-constrained devices, which are the cornerstones of the Internet of Things (IoT). DPWS sees a perspective of being able to build service-oriented and event-driven IoT applications on top of these devices with secure Web service capabilities and a seamless integration into existing World Wide Web infrastructure. We introduce DPWSim, a simulation toolkit to support the development of such applications. DPWSim allows developers to prototype, develop, and test IoT applications using the DPWS technology without the presence of physical devices. It also can be used for the collaboration between manufacturers, developers, and designers during the new product development process.},
	booktitle = {2014 {IEEE} {World} {Forum} on {Internet} of {Things} ({WF}-{IoT})},
	author = {Han, S. N. and Lee, G. M. and Crespi, N. and Heo, K. and Luong, N. Van and Brut, M. and Gatellier, P.},
	month = mar,
	year = {2014},
	keywords = {Standards, Internet of Things, protocols, simulation, devices profile for Web services, DPWS, DPWSim, IoT applications, Java, OASIS standard, product development process, resource constrained devices, service-oriented architecture, Simple object access protocol, simulation toolkit, smart devices, smart phones, Virtual environments, Web Service, Web services},
	pages = {544--547}
}

@inproceedings{vandikas_performance_2014,
	title = {Performance {Evaluation} of an {IoT} {Platform}},
	doi = {10.1109/NGMAST.2014.66},
	abstract = {The number of Internet of Things (IoT) deployments has grown in an unprecedented rate during the past few years. This expansion has led analysts and individual industrial companies to the prediction that a few tens of billions of devices will be deployed in the next decade in diverse industries such as automotive, utility, health, logistics and home automation. This growth in physical deployments and physical devices fuelled the development of cloud middleware for managing a large number of sensor data streams generated by the individual sensors. In this paper, we describe one such computational middleware, called IoT-Framework, built on open source components. The main objective of this framework is to disseminate the generated raw data streams as well as processed and fused streams to multiple interested parties. The IoT-Framework is using the RabbitMQ publish-subscribe system and the elasticsearch search and storage technology. In this paper we provide preliminary evaluation results on the performance of the combined operation of the two components.},
	booktitle = {2014 {Eighth} {International} {Conference} on {Next} {Generation} {Mobile} {Apps}, {Services} and {Technologies}},
	author = {Vandikas, K. and Tsiatsis, V.},
	month = sep,
	year = {2014},
	keywords = {Internet of Things, cloud computing, middleware, Java, cloud middleware, computation, Databases, elasticsearch, elasticsearch search, engine, evaluation, individual industrial companies, information retrieval, Internet of things deployments, IoT Platform, IoT-framework, open source components, Optimization, performance, performance evaluation, physical deployments, physical devices, public domain software, Publish-subscribe, RabbitMQ, RabbitMQ publish-subscribe system, sensor data streams, storage technology, Throughput},
	pages = {141--146}
}

@article{wang_research_2013,
	title = {Research on the framework of the {Environmental} {Internet} of {Things}},
	volume = {20},
	issn = {1350-4509},
	url = {http://dx.doi.org/10.1080/13504509.2013.783517},
	doi = {10.1080/13504509.2013.783517},
	abstract = {Higher urbanization rates cause new urban environmental problems and changing trends. New technologies also provide novel techniques for environmental management. This paper establishes a framework for an Environmental Internet of Things (EIoT) and describes key technologies, including Wireless Sensor Network (WSN), network techniques, Geographic Information System (GIS), WebGIS, and distributed database techniques. The framework of the EIoT from bottom to top includes environmental sensors, real-time network monitoring system, environmental databases, environmental information platform, and environmental management system. We discuss the construction of our EIoT and show how it provides real-time monitoring at the residential level of environmental factors such as water, soil, atmosphere, noise, and wind. The EIoT can also realize online environmental simulation and management and is currently being extended to the city, regional, and national levels. The EIoT can improve understanding of the urban environment and help to provide advanced technological solutions for increasingly serious environmental problems.},
	number = {3},
	journal = {International Journal of Sustainable Development \& World Ecology},
	author = {Wang, Haowei and Zhang, Tianhai and Quan, Yuan and Dong, Rencai},
	month = jun,
	year = {2013},
	keywords = {Environmental Internet of Things, framework, information platform, urban environment, Wireless Sensor Network},
	pages = {199--204}
}

@misc{noauthor_research_2017,
	title = {Research on architecture of {Internet} of {Things} and construction of its simulation experiment platform--《{Experimental} {Technology} and {Management}》2010年10期},
	url = {http://en.cnki.com.cn/Article_en/CJFDTotal-SYJL201010053.htm},
	urldate = {2017-10-02},
	month = Oct,
	year = {2017}
}

@inproceedings{estebsari_iot_2016,
	title = {An {IoT} realization in an interdepartmental real time simulation lab for distribution system control and management studies},
	doi = {10.1109/EEEIC.2016.7555699},
	abstract = {Modern electric distribution systems with emerging operation methods and advanced metering systems bring new challenges to the system analysis, control and management. Interdependency of cyber and physical layers and interoperability of various control and management strategies require wide and accurate test and analysis before field implementation. Real-time simulation is known as a precise and reliable method to support new system/device development from initial design to implementation. However, for the study of different application algorithms, considering the various expertise requirements, the interconnection of multiple development laboratories to a real-time simulation lab, which constitutes the core of an interdepartmental real-time simulation platform, is needed. This paper presents the implemented architecture of such an integrated lab, which serves real-time simulations to different application fields within electric distribution system domain. The architecture is an implementation of an Internet-of-Things to facilitate software in-the-loop (SIL) and hardware in-the-loop (HIL) tests. A demo of the proposed architecture is presented, applied to the testing of a fault location algorithm in a portion of a realistic distribution system model. The implemented platform is flexible to integrate different algorithms in a plug-and-play fashion through a designed communication interface.},
	booktitle = {2016 {IEEE} 16th {International} {Conference} on {Environment} and {Electrical} {Engineering} ({EEEIC})},
	author = {Estebsari, A. and Pons, E. and Patti, E. and Mengistu, M. and Bompard, E. and Bahmanyar, A. and Jamali, S.},
	month = jun,
	year = {2016},
	keywords = {Internet, Internet of Things, Real-time systems, Computer architecture, Testing, advanced metering systems, Algorithm design and analysis, Analytical models, communication interface, control and management algorithms, Control systems, cyber layers, Data models, distribution system control, distribution systems, electric distribution system domain, hardware in-the-loop, hardware in-the-loop tests, HIL tests, interdepartmental real time simulation lab, interdepartmental real-time simulation platform, Internet-of-Things, interoperability, IoT realization, modern electric distribution systems, open systems, physical layers, plug-and-play fashion, power system modeling, Real-time simulation, real-time simulation lab, realistic distribution system model, software in-the-loop, system analysis, system/device development},
	pages = {1--6}
}

@inproceedings{bounceur_cupcarbon:_2016,
	address = {New York, NY, USA},
	title = {{CupCarbon}: {A} {New} {Platform} for {Designing} and {Simulating} {Smart}-{City} and {IoT} {Wireless} {Sensor} {Networks} ({SCI}-{WSN})},
	isbn = {978-1-4503-4063-2},
	shorttitle = {{CupCarbon}},
	url = {http://doi.acm.org/10.1145/2896387.2900336},
	doi = {10.1145/2896387.2900336},
	abstract = {The proliferation of radio communication systems and the significant advances in enabling device technologies are paving towards Internet-of-Things (IoT) and opening new horizons for Smart City applications and its services. Such evolution becomes essential in order to enhance quality of urban services, to reduce costs, and to engage citizens more actively. In this context, novel simulation tools are required to prepare the future deployments of large-scale IoT infras tructure for Smart cities in the best conditions in terms of reliability, energy consumption, and cost. This keynote session presents the CupCarbon1 framework: a platform for designing smart-city and IoT Wireless Sensor Networks (SCIWSN). CupCarbon aims to provide following benefits that makes it significant from the other conventional wireless sensor network simulators. (1) provides modeling and simulation of radio propagation channel and alpha-stable noise based interferences in more realistic way, (2) takes into account the deployment environment and quantify the uncertainty of simulations, (3) allows the representation of mobile nodes and dynamic environments, (4) allows the behavioural study of a network or networks with large number of nodes in practical environments (city, mountain, etc.). The CupCarbon simulator allows it's user to design, visualize, debug and validate distributed algorithms for monitoring environmental data collections of wireless sensor network. It creates environmental scenarios such as fires, gas, mobiles, and generally within educational and scientific projects. It offers two different simulation environments. First is a multi-agent environment that enables the design of mobility scenarios and the generation of events such as fires and gas as well as the simulation of mobile nodes. Second environment represents a discrete event simulation of wireless sensor networks which also takes into account the scenario designed on the basis of the first environment. Interference models based on the impulsive nature of noise and outdoor propagation models are embedded within Cup-Carbon to provide more realistic analysis of WSNs for smart city applications. These models are associated with spatial zones according to the electromagnetic interactions.},
	booktitle = {Proceedings of the {International} {Conference} on {Internet} of {Things} and {Cloud} {Computing}},
	publisher = {ACM},
	author = {Bounceur, Ahcène},
	year = {2016},
	keywords = {alpha-stable distribution, CupCarbon simulator, interference, radio propagation channel, visibility tree},
	pages = {1:1--1:1}
}

@inproceedings{mehdi_cupcarbon:_2014,
	address = {ICST, Brussels, Belgium, Belgium},
	title = {{CupCarbon}: {A} {Multi}-agent and {Discrete} {Event} {Wireless} {Sensor} {Network} {Design} and {Simulation} {Tool}},
	isbn = {978-1-63190-007-5},
	shorttitle = {{CupCarbon}},
	url = {https://doi.org/10.4108/icst.simutools.2014.254811},
	doi = {10.4108/icst.simutools.2014.254811},
	abstract = {This paper presents the first version of a Wireless Sensor Network simulator, called CupCarbon. It is a multi-agent and discrete event Wireless Sensor Network (WSN) simulator. Networks can be designed and prototyped in an ergonomic user-friendly interface using the OpenStreetMap (OSM) framework by deploying sensors directly on the map. It can be used to study the behaviour of a network and its costs. The main objectives of CupCarbon are both educational and scientific. It can help trainers to explain the basic concepts and how sensor networks work and it can help scientists to test their wireless topologies, protocols, etc. The current version can be used only to study the power diagram of each sensor and the overall network. The power diagrams can be calculated and displayed as a function of the simulated time. Prototyping networks is more realistic compared to existing simulators.},
	booktitle = {Proceedings of the 7th {International} {ICST} {Conference} on {Simulation} {Tools} and {Techniques}},
	publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
	author = {Mehdi, Kamal and Lounis, Massinissa and Bounceur, Ahcène and Kechadi, Tahar},
	year = {2014},
	keywords = {Wireless Sensor Network, discrete event simulation, mobility, multi-agent system, OpenStreetMap, simulator},
	pages = {126--131}
}

@inproceedings{casanova_simgrid:_2001,
	title = {Simgrid: {A} toolkit for the simulation of application scheduling},
	shorttitle = {Simgrid},
	booktitle = {Cluster computing and the grid, 2001. proceedings. first ieee/acm international symposium on},
	publisher = {IEEE},
	author = {Casanova, Henri},
	year = {2001},
	pages = {430--437},
	file = {Casanova - 2001 - Simgrid A toolkit for the simulation of applicati.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/RLVK4JXT/Casanova - 2001 - Simgrid A toolkit for the simulation of applicati.pdf:application/pdf}
}

@misc{noauthor_efficient_nodate,
	title = {Efficient {Reading} of {Papers} in {Science} and {Technology}},
	file = {Efficient Reading of Papers in Science and Technol.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/E4XKTMZL/Efficient Reading of Papers in Science and Technol.pdf:application/pdf}
}

@article{gupta_ifogsim:_2017,
	title = {{iFogSim}: {A} toolkit for modeling and simulation of resource management techniques in the {Internet} of {Things}, {Edge} and {Fog} computing environments: {iFogSim}: {A} toolkit for modeling and simulation of internet of things},
	volume = {47},
	issn = {00380644},
	shorttitle = {{iFogSim}},
	url = {http://doi.wiley.com/10.1002/spe.2509},
	doi = {10.1002/spe.2509},
	abstract = {Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable,
environmental sensors, home appliances, and vehicles) online, hence generating
massive volume of data that can overwhelm storage systems and data analytics appli-
cations. Cloud computing offers services at the infrastructure level that can scale to
IoT storage and processing requirements. However, there are applications such as
health monitoring and emergency response that require low latency, and delay that is
caused by transferring data to the cloud and then back to the application can seriously
impact their performances. To overcome this limitation, Fog computing paradigm
has been proposed, where cloud services are extended to the edge of the network to
decrease the latency and network congestion. To realize the full potential of Fog and
IoT paradigms for real-time analytics, several challenges need to be addressed. The
first and most critical problem is designing resource management techniques that
determine which modules of analytics applications are pushed to each edge device to
minimize the latency and maximize the throughput. To this end, we need an evalua-
tion platform that enables the quantification of performance of resource management
policies on an IoT or Fog computing infrastructure in a repeatable manner. In this
paper we propose a simulator, called iFogSim, to model IoT and Fog environments
and measure the impact of resource management techniques in latency, network con-
gestion, energy consumption, and cost. We describe two case studies to demonstrate
modeling of an IoT environment and comparison of resource management policies.
Moreover, scalability of the simulation toolkit of RAM consumption and execution
time is verified under different circumstances.},
	language = {en},
	number = {9},
	urldate = {2017-11-09},
	journal = {Software: Practice and Experience},
	author = {Gupta, Harshit and Vahid Dastjerdi, Amir and Ghosh, Soumya K. and Buyya, Rajkumar},
	month = sep,
	year = {2017},
	pages = {1275--1296},
	file = {Gupta et al. - 2017 - iFogSim A toolkit for modeling and simulation of .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/IQTYMJAI/Gupta et al. - 2017 - iFogSim A toolkit for modeling and simulation of .pdf:application/pdf}
}

@article{yousfi_ubpmn:_2016,
	title = {{uBPMN}: {A} {BPMN} extension for modeling ubiquitous business processes},
	volume = {74},
	issn = {0950-5849},
	shorttitle = {{uBPMN}},
	url = {http://www.sciencedirect.com/science/article/pii/S0950584916300209},
	doi = {10.1016/j.infsof.2016.02.002},
	abstract = {Context: Business Process Model and Notation (BPMN) is the de facto standard for business process modeling. It was developed by the Object Management Group with support of the major organizations in the fields of software engineering and information systems. Despite its wide use, when it comes to representing ubiquitous business processes, this business process modeling language is lacking. Objective: To address BPMN’s deficiency in representing ubiquitous business processes, we extend it and present uBPMN (or ubiquitous BPMN). Method: First, we analyze the modeling requirements for representing ubiquitous business processes. Based on the requirements, we conservatively extend the Meta-Object Facility meta-model and the XML Schema Definition of BPMN as well as extend the notation. The extension, that we call uBPMN follows the same outline as set by the Object Management Group for BPMN. Results: The proposed uBPMN not only allows for modeling ubiquitous business processes but also lays the groundwork for potentially deploying a variety of ubiquitous computing technologies. We illustrate all of uBPMN’s capabilities and benefits with real-life examples. Conclusion: uBPMN extends BPMN v2.0 with new capabilities to deal with ubiquitous computing technologies.},
	number = {Supplement C},
	urldate = {2017-11-09},
	journal = {Information and Software Technology},
	author = {Yousfi, Alaaeddine and Bauer, Christine and Saidi, Rajaa and Dey, Anind K.},
	month = jun,
	year = {2016},
	keywords = {Business process modeling, Ubiquitous business process, Ubiquitous computing, uBPMN},
	pages = {55--68},
	file = {ScienceDirect Full Text PDF:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YCELZUIN/Yousfi et al. - 2016 - uBPMN A BPMN extension for modeling ubiquitous bu.pdf:application/pdf;ScienceDirect Snapshot:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/GYGTSD7P/S0950584916300209.html:text/html}
}

@book{kolmogorov_elements_nodate,
	title = {Elements de la theorie des fonctions et de l'analyse fonctionnelle},
	author = {Kolmogorov, A and Fomine, S},
	file = {Kolmogorov A., Fomine S. Elements de la theorie des fonctions et de l'analyse fonctionnelle (2ed..djv:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/EH2I6EHP/Kolmogorov A., Fomine S. Elements de la theorie des fonctions et de l'analyse fonctionnelle (2ed..djv:image/vnd.djvu;Kolmogorov A., Fomine S. Elements de la theorie des fonctions et de l'analyse fonctionnelle (2ed..djv.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/77JTH67G/Kolmogorov A., Fomine S. Elements de la theorie des fonctions et de l'analyse fonctionnelle (2ed..djv.pdf:application/pdf))))}
}

@book{schwartz_theorie_nodate,
	title = {Theorie des distributions},
	author = {Schwartz},
	file = {schwartz theorie des distributions.djvu:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7QHYI3MG/schwartz theorie des distributions.djvu:image/vnd.djvu;schwartz theorie des distributions.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/9F2ZGYFT/schwartz theorie des distributions.pdf:application/pdf}
}

@book{biagini_elements_nodate,
	title = {Elements of {Probability} and {Statistics}},
	author = {Biagini, Francesca and Campanino, Massimo},
	file = {Elements of Probability and Statistics.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/Q4IBGG2P/Elements of Probability and Statistics.pdf:application/pdf}
}

@article{santos_resource_2017,
	title = {Resource {Provisioning} for {IoT} application services in {Smart} {Cities}},
	abstract = {Abstract— In the last years, traffic over wireless networks has been increasing exponentially, due to the impact of Internet of Things (IoT) and Smart Cities. Current networks must adapt
to and cope with the specific requirements of IoT applications since resources can be requested on-demand simultaneously by multiple devices on different locations. One of these requirements is low latency, since even a small delay for an IoT application such as health monitoring or emergency service can drastically
impact their performance. To deal with this limitation, the Fog computing paradigm has been introduced, placing cloud resources on the edges of the network to decrease the latency.
However, deciding which edge cloud location and which physical hardware will be used to allocate a specific resource related
to an IoT application is not an easy task. Therefore, in this paper, an Integer Linear Programming (ILP) formulation for the
IoT application service placement problem is proposed, which considers multiple optimization objectives such as low latency
and energy efficiency. Solutions for the resource provisioning of IoT applications within the scope of Antwerp’s City of Things
testbed have been obtained. The result of this work can serve as a benchmark in future research related to placement issues of
IoT application services in Fog Computing environments since the model approach is generic and applies to a wide range of
IoT use cases. Index Terms—IoT, Centralized management, Orchestration, ILP, Fog Computing},
	author = {Santos, José and Wauters, Tim and Volckaert, Bruno and De Turck, Filip},
	year = {2017},
	pages = {9},
	file = {Santos et al. - 2017 - Resource Provisioning for IoT application services.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/DT9FHBLU/Santos et al. - 2017 - Resource Provisioning for IoT application services.pdf:application/pdf}
}

@inproceedings{kouche_towards_2012-1,
	title = {Towards a wireless sensor network platform for the {Internet} of {Things}: {Sprouts} {WSN} platform},
	shorttitle = {Towards a wireless sensor network platform for the {Internet} of {Things}},
	booktitle = {Communications ({ICC}), 2012 {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Kouche, A. E.},
	year = {2012},
	pages = {632--636},
	file = {Kouche - 2012 - Towards a wireless sensor network platform for the.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/5QBD22ZW/Kouche - 2012 - Towards a wireless sensor network platform for the.pdf:application/pdf}
}

@article{gluhak_survey_2011-1,
	title = {A survey on facilities for experimental internet of things research},
	volume = {49},
	number = {11},
	journal = {IEEE Communications Magazine},
	author = {Gluhak, Alexander and Krco, Srdjan and Nati, Michele and Pfisterer, Dennis and Mitton, Nathalie and Razafindralambo, Tahiry},
	year = {2011},
	file = {Gluhak et al. - 2011 - A survey on facilities for experimental internet o.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/N29BDDWT/Gluhak et al. - 2011 - A survey on facilities for experimental internet o.pdf:application/pdf}
}

@article{al-fuqaha_internet_2015-1,
	title = {Internet of {Things}: {A} {Survey} on {Enabling} {Technologies}, {Protocols}, and {Applications}},
	volume = {17},
	issn = {1553-877X},
	shorttitle = {Internet of {Things}},
	url = {http://ieeexplore.ieee.org/document/7123563/},
	doi = {10.1109/COMST.2015.2444095},
	number = {4},
	urldate = {2017-12-04},
	journal = {IEEE Communications Surveys \& Tutorials},
	author = {Al-Fuqaha, Ala and Guizani, Mohsen and Mohammadi, Mehdi and Aledhari, Mohammed and Ayyash, Moussa},
	year = {2015},
	pages = {2347--2376},
	file = {Al-Fuqaha et al. - 2015 - Internet of Things A Survey on Enabling Technolog.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/RERQRMHQ/Al-Fuqaha et al. - 2015 - Internet of Things A Survey on Enabling Technolog.pdf:application/pdf}
}

@article{nakamoto_bitcoin:_nodate,
	title = {Bitcoin: {A} {Peer}-to-{Peer} {Electronic} {Cash} {System} {Bitcoin}: {A} {Peer}-to-{Peer} {Electronic} {Cash} {System}},
	shorttitle = {Bitcoin},
	author = {Nakamoto, Satoshi},
	file = {Nakamoto - Bitcoin A Peer-to-Peer Electronic Cash System Bit.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/ZXEKCWEP/Nakamoto - Bitcoin A Peer-to-Peer Electronic Cash System Bit.pdf:application/pdf}
}

@misc{science_etonnante_bitcoin_nodate,
	title = {Le {Bitcoin} et la {Blockchain}},
	author = {Science Etonnante},
	file = {Science Etonnante - Le Bitcoin et la Blockchain.mp4:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/MAR29Y9B/Science Etonnante - Le Bitcoin et la Blockchain.mp4:video/mp4}
}

@misc{noauthor_comprendre_nodate,
	title = {Comprendre le {Bitcoin} et la {Blockchain} - {OpenClassrooms}},
	url = {https://openclassrooms.com/courses/comprendre-le-bitcoin-et-la-blockchain}
}

@article{al-fuqaha_internet_2015-2,
	title = {Internet of {Things}: {A} {Survey} on {Enabling} {Technologies}, {Protocols}, and {Applications}},
	volume = {17},
	issn = {1553-877X},
	shorttitle = {Internet of {Things}},
	url = {http://ieeexplore.ieee.org/document/7123563/},
	doi = {10.1109/COMST.2015.2444095},
	number = {4},
	urldate = {2017-12-06},
	journal = {IEEE Communications Surveys \& Tutorials},
	author = {Al-Fuqaha, Ala and Guizani, Mohsen and Mohammadi, Mehdi and Aledhari, Mohammed and Ayyash, Moussa},
	year = {2015},
	pages = {2347--2376},
	file = {Al-Fuqaha et al. - 2015 - Internet of Things A Survey on Enabling Technolog.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/98X465T9/Al-Fuqaha et al. - 2015 - Internet of Things A Survey on Enabling Technolog.pdf:application/pdf}
}

@book{grifone_algebre_1990,
	title = {Algebre linéaire},
	publisher = {Cépaduès},
	author = {Grifone, Joseph and Grifone, Joseph},
	year = {1990}
}

@misc{noauthor_algebre_2007,
	title = {Algèbre {Linéaire}},
	year = {2007},
	file = {al1.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/4JTW5B9H/al1.pdf:application/pdf}
}

@book{grifone_algebre_1990-1,
	title = {Algebre linéaire},
	publisher = {Cépaduès},
	author = {Grifone, Joseph and Grifone, Joseph},
	year = {1990}
}

@article{shehabi_united_2016,
	title = {United {States} data center energy usage report},
	author = {Shehabi, Arman and Smith, Sarah and Sartor, Dale and Brown, Richard and Herrlin, Magnus and Koomey, Jonathan and Masanet, Eric and Horner, Nathaniel and Azevedo, Inês and Lintner, William},
	year = {2016},
	file = {Shehabi et al. - 2016 - United States data center energy usage report.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YDZRSRDX/Shehabi et al. - 2016 - United States data center energy usage report.pdf:application/pdf}
}

@book{zobel_writing_2014,
	address = {London},
	title = {Writing for {Computer} {Science}},
	isbn = {978-1-4471-6638-2 978-1-4471-6639-9},
	url = {http://link.springer.com/10.1007/978-1-4471-6639-9},
	language = {en},
	urldate = {2018-01-25},
	publisher = {Springer London},
	author = {Zobel, Justin},
	year = {2014},
	doi = {10.1007/978-1-4471-6639-9},
	file = {Zobel - Writing for computer science 3rd edition.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/54T68HSV/Zobel - Writing for computer science 3rd edition.pdf:application/pdf}
}

@techreport{cisco_zettabyte_nodate,
	title = {The {Zettabyte} {Era}: {Trends} and {Analysis}},
	author = {CISCO},
	file = {CISCO - The Zettabyte Era Trends and Analysis.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/26K8IS64/CISCO - The Zettabyte Era Trends and Analysis.pdf:application/pdf}
}

@article{van_heddeghem_trends_2014,
	title = {Trends in worldwide {ICT} electricity consumption from 2007 to 2012},
	volume = {50},
	issn = {01403664},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S0140366414000619},
	doi = {10.1016/j.comcom.2014.02.008},
	language = {en},
	urldate = {2018-01-26},
	journal = {Computer Communications},
	author = {Van Heddeghem, Ward and Lambert, Sofie and Lannoo, Bart and Colle, Didier and Pickavet, Mario and Demeester, Piet},
	month = sep,
	year = {2014},
	pages = {64--76},
	file = {Van Heddeghem et al. - 2014 - Trends in worldwide ICT electricity consumption fr.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/SVBKQB76/Van Heddeghem et al. - 2014 - Trends in worldwide ICT electricity consumption fr.pdf:application/pdf}
}

@article{barroso_case_2007,
	title = {The case for energy-proportional computing},
	volume = {40},
	number = {12},
	journal = {Computer},
	author = {Barroso, Luiz André and Hölzle, Urs},
	year = {2007},
	file = {Barroso et Hölzle - 2007 - The case for energy-proportional computing.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/6C3KHSPE/Barroso et Hölzle - 2007 - The case for energy-proportional computing.pdf:application/pdf}
}

@article{dayarathna_data_2016,
	title = {Data {Center} {Energy} {Consumption} {Modeling}: {A} {Survey}},
	volume = {18},
	issn = {1553-877X},
	shorttitle = {Data {Center} {Energy} {Consumption} {Modeling}},
	url = {http://ieeexplore.ieee.org/document/7279063/},
	doi = {10.1109/COMST.2015.2481183},
	number = {1},
	urldate = {2018-01-26},
	journal = {IEEE Communications Surveys \& Tutorials},
	author = {Dayarathna, Miyuru and Wen, Yonggang and Fan, Rui},
	year = {2016},
	pages = {732--794},
	file = {Dayarathna et al. - 2016 - Data Center Energy Consumption Modeling A Survey.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/4QG9CD8U/Dayarathna et al. - 2016 - Data Center Energy Consumption Modeling A Survey.pdf:application/pdf}
}

@inproceedings{kliazovich_greencloud:_2010,
	title = {{GreenCloud}: {A} {Packet}-{Level} {Simulator} of {Energy}-{Aware} {Cloud} {Computing} {Data} {Centers}},
	shorttitle = {{GreenCloud}},
	doi = {10.1109/GLOCOM.2010.5683561},
	abstract = {Cloud computing data centers are becoming increasingly popular for the provisioning of computing resources. The cost and operating expenses of data centers have skyrocketed with the increase in computing capacity. Several governmental, industrial, and academic surveys indicate that the energy utilized by computing and communication units within a data center contributes to a considerable slice of the data center operational costs. In this paper, we present a simulation environment for energy-aware cloud computing data centers. Along with the workload distribution, the simulator is designed to capture details of the energy consumed by data center components (servers, switches, and links) as well as packet-level communication patterns in realistic setups. The simulation results obtained for two-tier, three- tier, and three-tier high-speed data center architectures demonstrate the effectiveness of the simulator in utilizing power management schema, such as voltage scaling, frequency scaling, and dynamic shutdown that are applied to the computing and networking components.},
	booktitle = {2010 {IEEE} {Global} {Telecommunications} {Conference} {GLOBECOM} 2010},
	author = {Kliazovich, D. and Bouvry, P. and Audzevich, Y. and Khan, S. U.},
	month = dec,
	year = {2010},
	keywords = {Internet, Servers, Computer architecture, Computational modeling, Data models, computer centres, data center operational costs, energy conservation, energy-aware cloud computing data centers, frequency scaling, Green products, GreenCloud, Optical switches, packet-level communication patterns, packet-level simulator, power aware computing, Power demand, power management schema, voltage scaling, workload distribution},
	pages = {1--5},
	file = {IEEE Xplore Abstract Record:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/WCLDYBKR/5683561.html:text/html;Kliazovich et al. - 2010 - GreenCloud A Packet-Level Simulator of Energy-Awa.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7938ANY6/Kliazovich et al. - 2010 - GreenCloud A Packet-Level Simulator of Energy-Awa.pdf:application/pdf}
}

@inproceedings{mahadevan_power_2009,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {A {Power} {Benchmarking} {Framework} for {Network} {Devices}},
	booktitle = {{NETWORKING}},
	author = {Mahadevan, Priya and Sharma, Puneet and Banerjee, Sujata and Ranganathan, Parthasarathy},
	year = {2009},
	pages = {795--808},
	file = {Mahadevan et al. - 2009 - A Power Benchmarking Framework for Network Devices.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7M3E6ARS/Mahadevan et al. - 2009 - A Power Benchmarking Framework for Network Devices.pdf:application/pdf;Snapshot:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7AHE5AUI/978-3-642-01399-7_62.html:text/html}
}

@inproceedings{orgerie_ecofen:_2011,
	title = {{ECOFEN}: {An} {End}-to-end energy {Cost} {mOdel} and simulator {For} {Evaluating} power consumption in large-scale {Networks}},
	shorttitle = {{ECOFEN}},
	abstract = {Wired networks are increasing in size and their power consumption is becoming a matter of concern. Evaluating the end-to-end electrical cost of new network architectures and protocols is difficult due to the lack of monitored realistic infrastructures. We propose an End-to-End energy Cost mOdel and simulator For Evaluating power consumption in large-scale Networks (ECOFEN) whose user's entries are the network topology and traffic. Based on configurable measurement of different network components (routers, switches, NICs, etc.), it provides the power consumption of the overall network including the end-hosts as well as the power consumption of each equipment over time.},
	booktitle = {2011 {IEEE} {International} {Symposium} on a {World} of {Wireless}, {Mobile} and {Multimedia} {Networks}},
	author = {Orgerie, A. C. and Lefèvre, L. and Guérin-Lassous, I. and Pacheco, D. M. Lopez},
	month = jun,
	year = {2011},
	keywords = {protocols, large-scale networks, Optical switches, Power demand, Adaptation models, computer networks, ECOFEN, end-to-end electrical cost, end-to-end energy cost model, Energy consumption, Energy cost model, Energy efficiency, network architectures, Network simulator, network topology, Network topology, Power consumption, power consumption evaluation, Protocols, telecommunication network topology, telecommunication traffic, Topology, wired networks, Wired networks},
	pages = {1--6},
	file = {IEEE Xplore Abstract Record:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/9R5ZST6Y/5986203.html:text/html;Orgerie et al. - 2011 - ECOFEN An End-to-end energy Cost mOdel and simula.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/8TG2YKUZ/Orgerie et al. - 2011 - ECOFEN An End-to-end energy Cost mOdel and simula.pdf:application/pdf}
}

@inproceedings{fan_power_2007,
	title = {Power provisioning for a warehouse-sized computer},
	volume = {35},
	booktitle = {{ACM} {SIGARCH} {Computer} {Architecture} {News}},
	publisher = {ACM},
	author = {Fan, Xiaobo and Weber, Wolf-Dietrich and Barroso, Luiz Andre},
	year = {2007},
	pages = {13--23},
	file = {Fan et al. - 2007 - Power provisioning for a warehouse-sized computer.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/3J2WKDBJ/Fan et al. - 2007 - Power provisioning for a warehouse-sized computer.pdf:application/pdf}
}

@inproceedings{liu_study_2001,
	title = {A study of networks simulation efficiency: fluid simulation vs. packet-level simulation},
	volume = {3},
	shorttitle = {A study of networks simulation efficiency},
	doi = {10.1109/INFCOM.2001.916619},
	abstract = {Network performance evaluation through traditional packet-level simulation is becoming increasingly difficult as today's networks grow in scale along many dimensions. As a consequence, fluid simulation has been proposed to cope with the size and complexity of such systems. This study focuses on analyzing and comparing the relative efficiencies of fluid simulation and packet-level simulation for several network scenarios. We use the “simulation event” rate to measure the computational effort of the simulators and show that this measure is both adequate and accurate. For some scenarios, we derive analytical results for the simulation event rate and identify the major factors that contribute to the simulation event rate. Among these factors, the “ripple effect” is very important since it can significantly increase the fluid simulation event rate. For a tandem queueing system, we identify the boundary condition to establish regions where one simulation paradigm is more efficient than the other. Flow aggregation is considered as a technique to reduce the impact of the “ripple effect” in fluid simulation. We also show that WFQ scheduling discipline can limit the “ripple effect”, making fluid simulation particularly well suited for WFQ models. Our results show that tradeoffs between parameters of a network model determines the most efficient simulation approach},
	booktitle = {Proceedings {IEEE} {INFOCOM} 2001. {Conference} on {Computer} {Communications}. {Twentieth} {Annual} {Joint} {Conference} of the {IEEE} {Computer} and {Communications} {Society} ({Cat}. {No}.01CH37213)},
	author = {Liu, B. and Figueiredo, D. R. and Guo, Y. and Kurose, J. and Towsley, D.},
	year = {2001},
	keywords = {Computational modeling, simulation, Analytical models, computer networks, telecommunication traffic, boundary condition, Boundary conditions, complexity, computational effort, Computer networks, Computer science, Computer simulation, Discrete event simulation, flow aggregation, fluid simulation, network model, network performance evaluation, networks simulation efficiency, packet switching, packet-level simulation, Power system modeling, queueing theory, ripple effect, scheduling, simulation event rate, tandem queueing system, Telecommunication traffic, Traffic control, WFQ scheduling discipline},
	pages = {1244--1253 vol.3},
	file = {IEEE Xplore Abstract Record:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/NVU5MTSH/916619.html:text/html;Liu et al. - 2001 - A study of networks simulation efficiency fluid s.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/27CMF88U/Liu et al. - 2001 - A study of networks simulation efficiency fluid s.pdf:application/pdf}
}

@article{casanova_versatile_2014,
	title = {Versatile, scalable, and accurate simulation of distributed applications and platforms},
	volume = {74},
	issn = {0743-7315},
	url = {http://www.sciencedirect.com/science/article/pii/S0743731514001105},
	doi = {10.1016/j.jpdc.2014.06.008},
	abstract = {The study of parallel and distributed applications and platforms, whether in the cluster, grid, peer-to-peer, volunteer, or cloud computing domain, often mandates empirical evaluation of proposed algorithmic and system solutions via simulation. Unlike direct experimentation via an application deployment on a real-world testbed, simulation enables fully repeatable and configurable experiments for arbitrary hypothetical scenarios. Two key concerns are accuracy (so that simulation results are scientifically sound) and scalability (so that simulation experiments can be fast and memory-efficient). While the scalability of a simulator is easily measured, the accuracy of many state-of-the-art simulators is largely unknown because they have not been sufficiently validated. In this work we describe recent accuracy and scalability advances made in the context of the SimGrid simulation framework. A design goal of SimGrid is that it should be versatile, i.e., applicable across all aforementioned domains. We present quantitative results that show that SimGrid compares favorably with state-of-the-art domain-specific simulators in terms of scalability, accuracy, or the trade-off between the two. An important implication is that, contrary to popular wisdom, striving for versatility in a simulator is not an impediment but instead is conducive to improving both accuracy and scalability.},
	number = {10},
	urldate = {2018-01-26},
	journal = {Journal of Parallel and Distributed Computing},
	author = {Casanova, Henri and Giersch, Arnaud and Legrand, Arnaud and Quinson, Martin and Suter, Frédéric},
	month = oct,
	year = {2014},
	keywords = {Scalability, SimGrid, Simulation, Validation, Versatility},
	pages = {2899--2917},
	file = {Casanova et al. - 2014 - Versatile, scalable, and accurate simulation of di.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/EVEQVXRX/Casanova et al. - 2014 - Versatile, scalable, and accurate simulation of di.pdf:application/pdf;ScienceDirect Snapshot:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/A7W3X25E/S0743731514001105.html:text/html}
}

@article{barakat_modeling_2003,
	title = {Modeling internet backbone traffic at the flow level},
	volume = {51},
	issn = {1053-587X},
	url = {http://ieeexplore.ieee.org/document/1212669/},
	doi = {10.1109/TSP.2003.814521},
	language = {en},
	number = {8},
	urldate = {2018-01-26},
	journal = {IEEE Transactions on Signal Processing},
	author = {Barakat, C. and Thiran, P. and Iannaccone, G. and Diot, C. and Owezarski, P.},
	month = aug,
	year = {2003},
	pages = {2111--2124},
	file = {Barakat et al. - 2003 - Modeling internet backbone traffic at the flow lev.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/UAY56JTY/Barakat et al. - 2003 - Modeling internet backbone traffic at the flow lev.pdf:application/pdf}
}

@inproceedings{cornea_studying_2014,
	title = {Studying the energy consumption of data transfers in {Clouds}: the {Ecofen} approach},
	shorttitle = {Studying the energy consumption of data transfers in {Clouds}},
	doi = {10.1109/CloudNet.2014.6968983},
	abstract = {Energy consumption is one of the main limiting factors for designing large scale Clouds. Evaluating the energy consumption of Clouds networking architectures and providing multi-level views required by providers and users, is a challenging issue. In this paper, we show how to evaluate and understand network choices (protocols, topologies) in terms of contributions to the energy consumption of the global Cloud infrastructures. By applying the ECOFEN model (Energy Consumption mOdel For End-to-end Networks) and the corresponding simulation framework, we profile and analyze the energy consumption of data transfers in Clouds.},
	booktitle = {{IEEE} {Int.} {Conf.} on {Cloud} {Networking} ({CloudNet})},
	author = {Cornea, B. F. and Orgerie, A. C. and Lefèvre, L.},
	year = {2014},
	keywords = {cloud computing, simulation, power aware computing, Bandwidth, Cloud data transfers, Color, data transfers, ECOFEN model, energy consumption, energy consumption model for end-to-end networks, ethernet networks, global cloud infrastructures, Ports (Computers), Routing protocols, Switches, Transport protocols},
	pages = {143--148},
	file = {Cornea et al. - 2014 - Studying the energy consumption of data transfers .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YU6TQLPC/Cornea et al. - 2014 - Studying the energy consumption of data transfers .pdf:application/pdf;IEEE Xplore Abstract Record:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YYS9ACXP/6968983.html:text/html}
}

@inproceedings{cornea_studying_2014-1,
	title = {Studying the energy consumption of data transfers in {Clouds}: the {Ecofen} approach},
	shorttitle = {Studying the energy consumption of data transfers in {Clouds}},
	doi = {10.1109/CloudNet.2014.6968983},
	abstract = {Energy consumption is one of the main limiting factors for designing large scale Clouds. Evaluating the energy consumption of Clouds networking architectures and providing multi-level views required by providers and users, is a challenging issue. In this paper, we show how to evaluate and understand network choices (protocols, topologies) in terms of contributions to the energy consumption of the global Cloud infrastructures. By applying the ECOFEN model (Energy Consumption mOdel For End-to-end Networks) and the corresponding simulation framework, we profile and analyze the energy consumption of data transfers in Clouds.},
	booktitle = {2014 {IEEE} 3rd {International} {Conference} on {Cloud} {Networking} ({CloudNet})},
	author = {Cornea, B. F. and Orgerie, A. C. and Lefèvre, L.},
	month = oct,
	year = {2014},
	keywords = {cloud computing, simulation, power aware computing, Bandwidth, Cloud data transfers, Color, data transfers, ECOFEN model, energy consumption, energy consumption model for end-to-end networks, ethernet networks, global cloud infrastructures, Ports (Computers), Routing protocols, Switches, Transport protocols},
	pages = {143--148},
	file = {IEEE Xplore Abstract Record:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/VVTJTH3X/6968983.html:text/html}
}

@inproceedings{chiaraviglio_energy-aware_2009,
	title = {Energy-aware backbone networks: a case study},
	shorttitle = {Energy-aware backbone networks},
	booktitle = {Communications {Workshops}, 2009. {ICC} {Workshops} 2009. {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Chiaraviglio, Luca and Mellia, Marco and Neri, Fabio},
	year = {2009},
	pages = {1--5},
	file = {Chiaraviglio et al. - 2009 - Energy-aware backbone networks a case study.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/L8VLGQH6/Chiaraviglio et al. - 2009 - Energy-aware backbone networks a case study.pdf:application/pdf}
}

@inproceedings{chiaraviglio_reducing_2009,
	title = {Reducing power consumption in backbone networks},
	booktitle = {Communications, 2009. {ICC}'09. {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Chiaraviglio, Luca and Mellia, Marco and Neri, Fabio},
	year = {2009},
	keywords = {Read},
	pages = {1--6},
	file = {Chiaraviglio et al. - 2009 - Reducing power consumption in backbone networks.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/UJ3B2YHF/Chiaraviglio et al. - 2009 - Reducing power consumption in backbone networks.pdf:application/pdf}
}

@inproceedings{bianzino_grida:_2011,
	title = {Grida: {A} green distributed algorithm for backbone networks},
	shorttitle = {Grida},
	booktitle = {Online {Conference} on {Green} {Communications} ({GreenCom}), 2011 {IEEE}},
	publisher = {IEEE},
	author = {Bianzino, Aruna Prem and Chiaraviglio, Luca and Mellia, Marco},
	year = {2011},
	keywords = {Read},
	pages = {113--119},
	file = {Bianzino et al. - 2011 - Grida A green distributed algorithm for backbone .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/HYIY2HHH/Bianzino et al. - 2011 - Grida A green distributed algorithm for backbone .pdf:application/pdf}
}

@inproceedings{chiaraviglio_energy-aware_2009-1,
	title = {Energy-aware backbone networks: a case study},
	shorttitle = {Energy-aware backbone networks},
	booktitle = {Communications {Workshops}, 2009. {ICC} {Workshops} 2009. {IEEE} {International} {Conference} on},
	publisher = {IEEE},
	author = {Chiaraviglio, Luca and Mellia, Marco and Neri, Fabio},
	year = {2009},
	pages = {1--5},
	file = {05208038.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/WB442ZYB/05208038.pdf:application/pdf}
}

@inproceedings{orgerie_simulation_2017,
	title = {Simulation {Toolbox} for {Studying} {Energy} {Consumption} in {Wired} {Networks}},
	booktitle = {{CNSM}: {International} {Conference} on {Network} and {Service} {Management}},
	author = {Orgerie, Anne-Cécile and Amersho, Betsegaw Lemma and Haudebourg, Timothée and Quinson, Martin and Rifai, Myriana and Pacheco, Dino Lopez and Lefèvre, Laurent},
	year = {2017},
	pages = {1--5},
	file = {Ecofen-paper-submitted.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/JH5YBA5Z/Ecofen-paper-submitted.pdf:application/pdf}
}

@inproceedings{orgerie_simulation_2017-1,
	title = {Simulation {Toolbox} for {Studying} {Energy} {Consumption} in {Wired} {Networks} (extended)},
	booktitle = {{CNSM}: {International} {Conference} on {Network} and {Service} {Management}},
	author = {Orgerie, Anne-Cécile and Amersho, Betsegaw Lemma and Haudebourg, Timothée and Quinson, Martin and Rifai, Myriana and Pacheco, Dino Lopez and Lefèvre, Laurent},
	year = {2017},
	pages = {1--5},
	file = {Ecofen-paper-submitted.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YHM6Y3UU/Ecofen-paper-submitted.pdf:application/pdf}
}

@inproceedings{bianzino_green-game:_2011,
	title = {The green-game: {Striking} a balance between {QoS} and energy saving},
	shorttitle = {The green-game},
	booktitle = {Proceedings of the 23rd {International} {Teletraffic} {Congress}},
	publisher = {International Teletraffic Congress},
	author = {Bianzino, Aruna Prem and Chaudet, Claude and Rossi, Dario and Rougier, Jean-Louis and Moretti, Stefano},
	year = {2011},
	keywords = {Read},
	pages = {262--269},
	file = {p262-bianzino.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/9JKPNINC/p262-bianzino.pdf:application/pdf}
}

@misc{noauthor_game_2016,
	title = {Game {Theory} {The} {Science} of {Decision}-{Making}},
	url = {https://www.youtube.com/watch?v=MHS-htjGgSY},
	month = sep,
	year = {2016},
	file = {Game Theory_ The Science of Decision-Making.m4v:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YFR5FKIY/Game Theory_ The Science of Decision-Making.m4v:video/mp4}
}

@article{manzoor_quality_2014,
	title = {Quality of {Context}: models and applications for context-aware systems in pervasive environments},
	volume = {29},
	issn = {0269-8889, 1469-8005},
	shorttitle = {Quality of {Context}},
	url = {http://www.journals.cambridge.org/abstract_S0269888914000034},
	doi = {10.1017/S0269888914000034},
	language = {en},
	number = {02},
	urldate = {2018-03-14},
	journal = {The Knowledge Engineering Review},
	author = {Manzoor, Atif and Truong, Hong-Linh and Dustdar, Schahram},
	month = mar,
	year = {2014},
	pages = {154--170},
	file = {quality_of_context_models_and_applications_for_contextaware_systems_in_pervasive_environments.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/S4QHNPDK/quality_of_context_models_and_applications_for_contextaware_systems_in_pervasive_environments.pdf:application/pdf}
}

@inproceedings{morris_urban_2015,
	title = {Urban {Scale} {Context} {Dissemination} in the {Internet} of {Things}: {Challenge} {Accepted}},
	isbn = {978-1-4799-8660-6},
	shorttitle = {Urban {Scale} {Context} {Dissemination} in the {Internet} of {Things}},
	url = {http://ieeexplore.ieee.org/document/7373223/},
	doi = {10.1109/NGMAST.2015.62},
	urldate = {2018-03-14},
	publisher = {IEEE},
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}

@inproceedings{zhang_binary_2013,
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	doi = {10.1109/CVPR.2013.208},
	urldate = {2018-03-27},
	publisher = {IEEE},
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	month = jun,
	year = {2013},
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}

@inproceedings{culler_logp:_1993,
	title = {{LogP}: {Towards} a realistic model of parallel computation},
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	shorttitle = {{LogP}},
	booktitle = {{ACM} {Sigplan} {Notices}},
	publisher = {ACM},
	author = {Culler, David and Karp, Richard and Patterson, David and Sahay, Abhijit and Schauser, Klaus Erik and Santos, Eunice and Subramonian, Ramesh and Von Eicken, Thorsten},
	year = {1993},
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}

@inproceedings{tayeb_survey_2017,
	title = {A survey on {IoT} communication and computation frameworks: {An} industrial perspective},
	shorttitle = {A survey on {IoT} communication and computation frameworks},
	booktitle = {Computing and {Communication} {Workshop} and {Conference} ({CCWC}), 2017 {IEEE} 7th {Annual}},
	publisher = {IEEE},
	author = {Tayeb, Shahab and Latifi, Shahram and Kim, Yoohwan},
	year = {2017},
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}

@article{singh_create_2017,
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	shorttitle = {Create {Your} {Own} {Internet} of {Things}},
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	doi = {10.1109/MCE.2016.2640718},
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	urldate = {2018-03-28},
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	year = {2017},
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@article{hahm_operating_2016,
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	urldate = {2018-03-28},
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@article{chen_towards_2013,
	title = {Towards smart city: {M}2M communications with software agent intelligence},
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	urldate = {2018-03-28},
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@article{morris_context_2017,
	title = {Context {Dissemination} for {Dynamic} {Urban}-{Scale} {Applications}},
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	url = {http://link.springer.com/10.1007/s11036-017-0809-x},
	doi = {10.1007/s11036-017-0809-x},
	language = {en},
	number = {2},
	urldate = {2018-04-26},
	journal = {Mobile Networks and Applications},
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	year = {2017},
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@inproceedings{zhang_binary_2013-1,
	title = {Binary {Code} {Ranking} with {Weighted} {Hamming} {Distance}},
	isbn = {978-0-7695-4989-7},
	url = {http://ieeexplore.ieee.org/document/6619052/},
	doi = {10.1109/CVPR.2013.208},
	urldate = {2018-04-26},
	publisher = {IEEE},
	author = {Zhang, Lei and Zhang, Yongdong and Tang, Jinhu and Lu, Ke and Tian, Qi},
	month = jun,
	year = {2013},
	pages = {1586--1593},
	file = {WHD.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/V4FUA8FQ/WHD.pdf:application/pdf}
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@article{specification_tool_1993,
	title = {Tool {Interface} {Standard} ({TIS}) {Portable} {Formats} {Specification}},
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}

@inproceedings{noreen_performance_2016,
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	publisher = {IEEE},
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	year = {2016},
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@article{amer_association_2018,
	title = {Association optimization based on access fairness for {Wi}-{Fi} networks},
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	year = {2018},
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}

@misc{noauthor_article.pdf_nodate,
	title = {article.pdf}
}

@article{amer_association_2018-1,
	title = {Association optimization based on access fairness for {Wi}-{Fi} networks},
	volume = {137},
	issn = {13891286},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S1389128618301129},
	doi = {10.1016/j.comnet.2018.03.004},
	language = {en},
	urldate = {2018-05-23},
	journal = {Computer Networks},
	author = {Amer, Mohammed and Busson, Anthony and Guérin Lassous, Isabelle},
	month = jun,
	year = {2018},
	pages = {173--188},
	file = {Amer et al. - 2018 - Association optimization based on access fairness .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/IGLMI59D/Amer et al. - 2018 - Association optimization based on access fairness .pdf:application/pdf}
}

@inproceedings{kiddle_hybrid_2003,
	title = {Hybrid packet/fluid flow network simulation},
	booktitle = {Proceedings of the seventeenth workshop on {Parallel} and distributed simulation},
	publisher = {IEEE Computer Society},
	author = {Kiddle, Cameron and Simmonds, Rob and Williamson, Carey and Unger, Brian},
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}

@inproceedings{eger_efficient_2007,
	title = {Efficient simulation of large-scale p2p networks: packet-level vs. flow-level simulations},
	shorttitle = {Efficient simulation of large-scale p2p networks},
	booktitle = {Proceedings of the second workshop on {Use} of {P}2P, {GRID} and agents for the development of content networks},
	publisher = {ACM},
	author = {Eger, Kolja and Ho{\textbackslash}s sfeld, Tobias and Binzenhöfer, Andreas and Kunzmann, Gerald},
	year = {2007},
	pages = {9--16},
	file = {Eger et al. - 2007 - Efficient simulation of large-scale p2p networks .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/8SZRIWDK/Eger et al. - 2007 - Efficient simulation of large-scale p2p networks .pdf:application/pdf}
}

@inproceedings{sivaraman_profiling_2011,
	title = {Profiling per-packet and per-byte energy consumption in the {NetFPGA} {Gigabit} router},
	booktitle = {IEEE INFOCOM Workshops},
	author = {Sivaraman, Vijay and Vishwanath, Arun and Zhao, Zhi and Russell, Craig},
	year = {2011},
	pages = {331--336},
	file = {Sivaraman et al. - 2011 - Profiling per-packet and per-byte energy consumpti.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/2XTYWH3P/Sivaraman et al. - 2011 - Profiling per-packet and per-byte energy consumpti.pdf:application/pdf}
}

@article{dayarathna_data_2016-1,
	title = {Data {Center} {Energy} {Consumption} {Modeling}: {A} {Survey}},
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	issn = {1553-877X},
	shorttitle = {Data {Center} {Energy} {Consumption} {Modeling}},
	url = {http://ieeexplore.ieee.org/document/7279063/},
	doi = {10.1109/COMST.2015.2481183},
	number = {1},
	urldate = {2018-06-07},
	journal = {IEEE Communications Surveys \& Tutorials},
	author = {Dayarathna, Miyuru and Wen, Yonggang and Fan, Rui},
	year = {2016},
	pages = {732--794},
	file = {Dayarathna et al. - 2016 - Data Center Energy Consumption Modeling A Survey.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/UREMBBGQ/Dayarathna et al. - 2016 - Data Center Energy Consumption Modeling A Survey.pdf:application/pdf}
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@inproceedings{draxler_using_2012,
	title = {Using {OMNeT}++ for energy optimization simulations in mobile core networks},
	booktitle = {Proceedings of the 5th {International} {ICST} {Conference} on {Simulation} {Tools} and {Techniques}},
	publisher = {ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)},
	author = {Dräxler, Martin and Beister, Frederic and Kruska, Stephan and Aelken, Jörg and Karl, Holger},
	year = {2012},
	pages = {157--165},
	file = {Dräxler et al. - 2012 - Using OMNeT++ for energy optimization simulations .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/8Q3LS422/Dräxler et al. - 2012 - Using OMNeT++ for energy optimization simulations .pdf:application/pdf}
}

@inproceedings{maureira_component_2009,
	title = {Component based approach using {OMNeT}++ for train communication modeling},
	booktitle = {Intelligent {Transport} {Systems} {Telecommunications},({ITST}), 2009 9th {International} {Conference} on},
	publisher = {IEEE},
	author = {Maureira, Juan-Carlos and Uribe, Paula and Dalle, Olivier and Asahi, Takeshi and Amaya, Jorge},
	year = {2009},
	pages = {441--446},
	file = {Maureira et al. - 2009 - Component based approach using OMNeT++ for train c.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/AHGCPSLM/Maureira et al. - 2009 - Component based approach using OMNeT++ for train c.pdf:application/pdf}
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@misc{orgerie_simulation_2017-2,
	title = {Simulation {Toolbox} for {Studying} {Energy} {Consumption} in {Wired} {Networks}},
	journal = {CNSM: International Conference on Network and Service Management},
	author = {Orgerie, Anne-Cécile and Amersho, Betsegaw Lemma and Haudebourg, Timothée and Quinson, Martin and Rifai, Myriana and Pacheco, Dino Lopez and Lefèvre, Laurent},
	year = {2017},
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}

@inproceedings{heinrich_predicting_2017,
	title = {Predicting the {Energy}-{Consumption} of {MPI} {Applications} at {Scale} {Using} {Only} a {Single} {Node}},
	booktitle = {IEEE Cluster Conference},
	author = {Heinrich, Franz Christian and Cornebize, Tom and Degomme, Augustin and Legrand, Arnaud and Carpen-Amarie, Alexandra and Hunold, Sascha and Orgerie, Anne-Cecile and Quinson, Martin},
	year = {2017},
	pages = {92--102},
	file = {Heinrich et al. - 2017 - Predicting the Energy-Consumption of MPI Applicati.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/CMDGJDPW/Heinrich et al. - 2017 - Predicting the Energy-Consumption of MPI Applicati.pdf:application/pdf}
}

@book{seibel_practical_2005,
	address = {Berkeley, CA},
	series = {The {Expert}'s voice in programming languages},
	title = {Practical {COMMON} {LISP}},
	isbn = {978-1-59059-239-7},
	publisher = {Apress},
	author = {Seibel, Peter},
	year = {2005},
	keywords = {COMMON LISP (Computer program language)},
	file = {Seibel - 2005 - Practical COMMON LISP.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/288SXEF2/Seibel - 2005 - Practical COMMON LISP.pdf:application/pdf}
}

@misc{noauthor_common_nodate,
	title = {Common {Lisp} {HyperSpec}},
	file = {HyperSpec-7-0.tar.gz:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/QCBI7GLT/HyperSpec-7-0.tar.gz:application/gzip}
}

@article{kliazovich_greencloud:_2012,
	title = {{GreenCloud}: a packet-level simulator of energy-aware cloud computing data centers},
	volume = {62},
	issn = {0920-8542, 1573-0484},
	shorttitle = {{GreenCloud}},
	url = {http://link.springer.com/10.1007/s11227-010-0504-1},
	doi = {10.1007/s11227-010-0504-1},
	language = {en},
	number = {3},
	urldate = {2018-06-25},
	journal = {The Journal of Supercomputing},
	author = {Kliazovich, Dzmitry and Bouvry, Pascal and Khan, Samee Ullah},
	month = dec,
	year = {2012},
	pages = {1263--1283},
	file = {Kliazovich et al. - 2012 - GreenCloud a packet-level simulator of energy-awa.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/C3UR28EL/Kliazovich et al. - 2012 - GreenCloud a packet-level simulator of energy-awa.pdf:application/pdf}
}

@misc{noauthor_algol_2018,
	title = {{ALGOL}},
	copyright = {Creative Commons Attribution-ShareAlike License},
	url = {https://en.wikipedia.org/w/index.php?title=ALGOL&oldid=843764125},
	abstract = {ALGOL (; short for "Algorithmic Language") is a family of imperative computer programming languages, originally developed in the mid-1950s, which greatly influenced many other languages and was the standard method for algorithm description used by the ACM in textbooks and academic sources for more than thirty years.
In the sense that the syntax of most modern languages is "Algol-like", it was arguably the most influential of the four high-level programming languages among which it was roughly contemporary: FORTRAN, Lisp, and COBOL. It was designed to avoid some of the perceived problems with FORTRAN and eventually gave rise to many other programming languages, including PL/I, Simula, BCPL, B, Pascal, and C.
ALGOL introduced code blocks and the begin…end pairs for delimiting them. It was also the first language implementing nested function definitions with lexical scope. Moreover, it was the first programming language which gave detailed attention to formal language definition and through the Algol 60 Report introduced Backus–Naur form, a principal formal grammar notation for language design.
There were three major specifications, named after the year they were first published:
ALGOL 58 – originally proposed to be called IAL, for International Algebraic Language.
ALGOL 60 – first implemented as X1 ALGOL 60 in mid-1960. Revised 1963.
ALGOL 68 – introduced new elements including flexible arrays, slices, parallelism, operator identification. Revised 1973.
Niklaus Wirth based his own ALGOL W on ALGOL 60 before developing Pascal. ALGOL-W was based on the proposal for the next generation ALGOL, but the ALGOL 68 committee decided on a design that was more complex and advanced, rather than a cleaned, simplified ALGOL 60.
ALGOL 68 is substantially different from ALGOL 60 and was not well received, so that in general "Algol" means ALGOL 60 and dialects thereof.},
	language = {en},
	urldate = {2018-06-25},
	journal = {Wikipedia},
	month = may,
	year = {2018},
	note = {Page Version ID: 843764125},
	file = {Snapshot:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YDXPQDIU/index.html:text/html}
}

@article{culler_logp:_1996,
	title = {{LogP}: a practical model of parallel computation},
	volume = {39},
	issn = {00010782},
	shorttitle = {{LogP}},
	url = {http://portal.acm.org/citation.cfm?doid=240455.240477},
	doi = {10.1145/240455.240477},
	language = {en},
	number = {11},
	urldate = {2018-07-04},
	journal = {Communications of the ACM},
	author = {Culler, David E. and Karp, Richard M. and Patterson, David and Sahay, Abhijit and Santos, Eunice E. and Schauser, Klaus Erik and Subramonian, Ramesh and von Eicken, Thorsten},
	month = nov,
	year = {1996},
	pages = {78--85},
	file = {Culler et al. - 1996 - LogP a practical model of parallel computation.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/RFKF52KV/Culler et al. - 1996 - LogP a practical model of parallel computation.pdf:application/pdf}
}

@inproceedings{alexandrov_loggp:_1995,
	title = {{LogGP}: incorporating long messages into the {LogP} model---one step closer towards a realistic model for parallel computation},
	isbn = {978-0-89791-717-9},
	shorttitle = {{LogGP}},
	url = {http://portal.acm.org/citation.cfm?doid=215399.215427},
	doi = {10.1145/215399.215427},
	language = {en},
	urldate = {2018-07-04},
	publisher = {ACM Press},
	author = {Alexandrov, Albert and Ionescu, Mihai F. and Schauser, Klaus E. and Scheiman, Chris},
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}

@inproceedings{hoefler_loggopsim:_2010,
	title = {{LogGOPSim}: simulating large-scale applications in the {LogGOPS} model},
	isbn = {978-1-60558-942-8},
	shorttitle = {{LogGOPSim}},
	url = {http://portal.acm.org/citation.cfm?doid=1851476.1851564},
	doi = {10.1145/1851476.1851564},
	abstract = {We introduce LogGOPSim—a fast simulation framework for parallel algorithms at large-scale. LogGOPSim utilizes a slightly extended version of the well-known LogGPS model in combination with full MPI message matching semantics and detailed simulation of collective operations. In addition, it enables simulation in the traditional LogP, LogGP, and LogGPS models. Its simple and fast single-queue design computes more than 1 million events per second on a single processor and enables large-scale simulations of more than 8 million processes. LogGOPSim also supports the simulation of full MPI applications by reading and simulating MPI profiling traces. We analyze the accuracy and the performance of the simulation and propose a simple extrapolation scheme for parallel applications. Our scheme extrapolates collective operations with high accuracy by rebuilding the communication pattern. Point-to-point operation patterns can be copied in the extrapolation and thus retain the main characteristics of scalable parallel applications.},
	language = {en},
	urldate = {2018-07-04},
	publisher = {ACM Press},
	author = {Hoefler, Torsten and Schneider, Timo and Lumsdaine, Andrew},
	year = {2010},
	pages = {597},
	file = {Hoefler et al. - 2010 - LogGOPSim simulating large-scale applications in .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/KY7TPW73/Hoefler et al. - 2010 - LogGOPSim simulating large-scale applications in .pdf:application/pdf}
}

@article{buyya_gridsim:_2002,
	title = {{GridSim}: a toolkit for the modeling and simulation of distributed resource management and scheduling for {Grid} computing},
	volume = {14},
	issn = {1532-0626, 1532-0634},
	shorttitle = {{GridSim}},
	url = {http://doi.wiley.com/10.1002/cpe.710},
	doi = {10.1002/cpe.710},
	abstract = {Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generation parallel and distributed computing. They enable aggregation of distributed resources for solving largescale problems in science, engineering, and commerce. In Grid and P2P computing environments, the resources are usually geographically distributed in multiple administrative domains, managed and owned by different organizations with different policies, and interconnected by wide-area networks or the Internet. This introduces a number of resource management and application scheduling challenges in the domain of security, resource and policy heterogeneity, fault tolerance, continuously changing resource conditions, and politics. The resource management and scheduling systems for Grid computing need to manage resources and application execution depending on either resource consumers’ or owners’ requirements, and continuously adapt to changes in resource availability.},
	language = {en},
	number = {13-15},
	urldate = {2018-07-05},
	journal = {Concurrency and Computation: Practice and Experience},
	author = {Buyya, Rajkumar and Murshed, Manzur},
	month = nov,
	year = {2002},
	pages = {1175--1220},
	file = {Buyya et Murshed - 2002 - GridSim a toolkit for the modeling and simulation.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/6HDQ5DB7/Buyya et Murshed - 2002 - GridSim a toolkit for the modeling and simulation.pdf:application/pdf}
}

@inproceedings{duy_performance_2010,
	title = {Performance evaluation of a {Green} {Scheduling} {Algorithm} for energy savings in {Cloud} computing},
	isbn = {978-1-4244-6533-0},
	url = {http://ieeexplore.ieee.org/document/5470908/},
	doi = {10.1109/IPDPSW.2010.5470908},
	abstract = {With energy shortages and global climate change leading our concerns these days, the power consumption of datacenters has become a key issue. Obviously, a substantial reduction in energy consumption can be made by powering down servers when they are not in use. This paper aims at designing, implementing and evaluating a Green Scheduling Algorithm integrating a neural network predictor for optimizing server power consumption in Cloud computing. We employ the predictor to predict future load demand based on historical demand. According to the prediction, the algorithm turns off unused servers and restarts them to minimize the number of running servers, thus minimizing the energy use at the points of consumption to benefit all other levels. For evaluation, we perform simulations with two load traces. The results show that the PP20 mode can save up to 46.3\% of power consumption with a drop rate of 0.03\% on one load trace, and a drop rate of 0.12\% with a power reduction rate of 46.7\% on the other.},
	language = {en},
	urldate = {2018-07-05},
	publisher = {IEEE},
	author = {Duy, Truong Vinh Truong and Sato, Yukinori and Inoguchi, Yasushi},
	month = apr,
	year = {2010},
	pages = {1--8},
	file = {Duy et al. - 2010 - Performance evaluation of a Green Scheduling Algor.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/EMD6CW8B/Duy et al. - 2010 - Performance evaluation of a Green Scheduling Algor.pdf:application/pdf}
}

@article{calheiros_cloudsim:_nodate,
	title = {{CloudSim}: {A} {Novel} {Framework} for {Modeling} and {Simulation} of {Cloud} {Computing} {Infrastructures} and {Services}},
	abstract = {Cloud computing focuses on delivery of reliable, secure, fault-tolerant, sustainable, and scalable infrastructures for hosting Internet-based application services. These applications have different composition, configuration, and deployment requirements. Quantifying the performance of scheduling and allocation policy on a Cloud infrastructure (hardware, software, services) for different application and service models under varying load, energy performance (power consumption, heat dissipation), and system size is an extremely challenging problem to tackle. To simplify this process, in this paper we propose CloudSim: a new generalized and extensible simulation framework that enables seamless modelling, simulation, and experimentation of emerging Cloud computing infrastructures and management services. The simulation framework has the following novel features: (i) support for modelling and instantiation of large scale Cloud computing infrastructure, including data centers on a single physical computing node and java virtual machine; (ii) a self-contained platform for modelling data centers, service brokers, scheduling, and allocations policies; (iii) availability of virtualization engine, which aids in creation and management of multiple, independent, and co-hosted virtualized services on a data center node; and (iv) flexibility to switch between space-shared and time-shared allocation of processing cores to virtualized services.},
	language = {en},
	author = {Calheiros, Rodrigo N and Ranjan, Rajiv and De, César A F},
	pages = {9},
	file = {Calheiros et al. - CloudSim A Novel Framework for Modeling and Simul.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/52G72VSU/Calheiros et al. - CloudSim A Novel Framework for Modeling and Simul.pdf:application/pdf}
}

@inproceedings{malik_cloudnetsim++:_2014,
	title = {{CloudNetSim}++: {A} toolkit for data center simulations in {OMNET}++},
	isbn = {978-1-4799-6940-1 978-1-4799-6939-5},
	shorttitle = {{CloudNetSim}++},
	url = {http://ieeexplore.ieee.org/document/7029371/},
	doi = {10.1109/HONET.2014.7029371},
	abstract = {With the availability of low cost, on demand, and payas-you-go model based utility computing services offered by clouds, multiple businesses consider moving their services to the cloud. Typically, the clouds comprise of geographically distributed data centers connected through a high speed network. Most of the research and development is focused on cloud services, applications, and security issues; however, very limited effort has been devoted to address energy efficiency, scalability, and highspeed inter and intra-data center communication. We present CloudNetSim++, a modeling and simulation toolkit to facilitate simulation of distributed data center architectures, energy models, and high speed data centers' communication network. The CloudNetSim++ is designed to allow researchers to incorporate their custom protocols and, applications, to analyze under realistic data center architectures with network traffic patterns. CloudNetSim++ is the first cloud computing simulator that uses real network physical characteristics to model distributed data centers. CloudNetSim++ provides a generic framework that allows users to define SLA policy, scheduling algorithms, and modules for different components of data centers without worrying about low level details with ease and minimum effort.},
	language = {en},
	urldate = {2018-07-07},
	publisher = {IEEE},
	author = {Malik, Asad W. and Bilal, Kashif and Aziz, Khurram and Kliazovich, Dzmitry and Ghani, Nasir and Khan, Samee U. and Buyya, Rajkumar},
	month = dec,
	year = {2014},
	pages = {104--108},
	file = {Malik et al. - 2014 - CloudNetSim++ A toolkit for data center simulatio.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/P68PXEI2/Malik et al. - 2014 - CloudNetSim++ A toolkit for data center simulatio.pdf:application/pdf}
}

@article{mauerer_linux_nodate,
	title = {Linux® {Kernel} {Architecture}},
	language = {de},
	author = {Mauerer, Wolfgang},
	pages = {1370},
	file = {Mauerer - Linux® Kernel Architecture.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/L7CZT25D/Mauerer - Linux® Kernel Architecture.pdf:application/pdf}
}

@inproceedings{murad_why_2017,
	title = {Why satellite localization beacons are not adapted for marine turtles' study: {A} sea wireless sensors network solution},
	isbn = {978-1-5090-4934-9},
	shorttitle = {Why satellite localization beacons are not adapted for marine turtles' study},
	url = {http://ieeexplore.ieee.org/document/8169808/},
	doi = {10.1109/GIIS.2017.8169808},
	abstract = {This article shows the effects of various parameters like the radio channel conditions or even the modulation on sea turtles trajectory estimated by terrestrial localization algorithms. This work is part of wireless sensors networks domain in the marine and terrestrial environment in the world of living beings. It allows to identify and understand the parameters that lead to inaccuracies over the sea turtles trajectory. Another important part of this project is to better understand the morphology of the sea turtles and his environment. It also proposes another way to localized sea turtles.},
	language = {en},
	urldate = {2018-07-22},
	publisher = {IEEE},
	author = {Murad, Nour Mohammad and Guegan, Loic and Bonhommeau, Sylvain},
	month = oct,
	year = {2017},
	pages = {79--86},
	file = {Murad et al. - 2017 - Why satellite localization beacons are not adapted.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/NSRPMPIF/Murad et al. - 2017 - Why satellite localization beacons are not adapted.pdf:application/pdf}
}

@article{van_heddeghem_trends_2014-1,
	title = {Trends in worldwide {ICT} electricity consumption from 2007 to 2012},
	volume = {50},
	issn = {01403664},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S0140366414000619},
	doi = {10.1016/j.comcom.2014.02.008},
	abstract = {Information and Communication Technology (ICT) devices and services are becoming more and more widespread in all aspects of human life. Following an increased worldwide focus on the environmental impacts of energy consumption in general, there is also a growing attention to the electricity consumption associated with ICT equipment.},
	language = {en},
	urldate = {2018-07-23},
	journal = {Computer Communications},
	author = {Van Heddeghem, Ward and Lambert, Sofie and Lannoo, Bart and Colle, Didier and Pickavet, Mario and Demeester, Piet},
	month = sep,
	year = {2014},
	pages = {64--76},
	file = {Van Heddeghem et al. - 2014 - Trends in worldwide ICT electricity consumption fr.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/M3894KJM/Van Heddeghem et al. - 2014 - Trends in worldwide ICT electricity consumption fr.pdf:application/pdf}
}

@misc{noauthor_ns-2_nodate,
	title = {{NS}-2 project home page},
	url = {http://www.isi.edu/ nsnam/ns/},
	journal = {The Network Simulator - ns-2}
}

@misc{noauthor_ns-3_nodate,
	title = {{NS}-3 project home page},
	url = {https://www.nsnam.org/},
	journal = {ns-3}
}

@misc{noauthor_omnet++_nodate,
	title = {{OMNET}++ project home page},
	url = {https://www.omnetpp.org/}
}

@article{velho_validity_2013,
	title = {On the validity of flow-level tcp network models for grid and cloud simulations},
	volume = {23},
	issn = {10493301},
	url = {http://dl.acm.org/citation.cfm?doid=2556945.2517448},
	doi = {10.1145/2517448},
	language = {en},
	number = {4},
	urldate = {2018-07-23},
	journal = {ACM Transactions on Modeling and Computer Simulation},
	author = {Velho, Pedro and Schnorr, Lucas Mello and Casanova, Henri and Legrand, Arnaud},
	month = oct,
	year = {2013},
	pages = {1--26},
	file = {Velho et al. - 2013 - On the validity of flow-level tcp network models f.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/AJDD2WTQ/Velho et al. - 2013 - On the validity of flow-level tcp network models f.pdf:application/pdf}
}

@inproceedings{quinson_parallel_2012,
	title = {Parallel {Simulation} of {Peer}-to-{Peer} {Systems}},
	isbn = {978-1-4673-1395-7 978-0-7695-4691-9},
	url = {http://ieeexplore.ieee.org/document/6217480/},
	doi = {10.1109/CCGrid.2012.115},
	abstract = {Discrete Event Simulation (DES) is one of the major experimental methodologies in several scientific and engineering domains. Parallel Discrete Event Simulation (PDES) constitutes a very active research field for at least three decades, to surpass speed and size limitations. In the context of Peer-to-Peer (P2P) protocols, most studies rely on simulation. Surprisingly enough, none of the mainstream P2P discrete event simulators allows parallel simulation although the tool scalability is considered as the major quality metric by several authors.},
	language = {en},
	urldate = {2018-07-23},
	publisher = {IEEE},
	author = {Quinson, Martin and Rosa, Cristian and Thiéry, Christophe},
	month = may,
	year = {2012},
	pages = {668--675},
	file = {Quinson et al. - 2012 - Parallel Simulation of Peer-to-Peer Systems.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/66P2RZDW/Quinson et al. - 2012 - Parallel Simulation of Peer-to-Peer Systems.pdf:application/pdf}
}

@inproceedings{fiandrino_performance_2015,
	title = {Performance {Metrics} for {Data} {Center} {Communication} {Systems}},
	isbn = {978-1-4673-7287-9},
	url = {http://ieeexplore.ieee.org/document/7214033/},
	doi = {10.1109/CLOUD.2015.23},
	abstract = {Cloud computing has become a de facto approach for service provisioning over the Internet. It operates relying on a pool of shared computing resources available on demand and usually hosted in data centers. Assessing performance and energy efficiency of data centers becomes fundamental. Industries use a number of metrics to assess efficiency and energy consumption of cloud computing systems, focusing mainly on the efficiency of IT equipment, cooling and power distribution systems. However, none of the existing metrics is precise enough to distinguish and analyze the performance of data center communication systems from IT equipment. This paper proposes a framework of new metrics able to assess performance and energy efficiency of cloud computing communication systems, processes and protocols. The proposed metrics have been evaluated for the most common data center architectures including fat-tree three-tier, BCube and DCell.},
	language = {en},
	urldate = {2018-07-23},
	publisher = {IEEE},
	author = {Fiandrino, Claudio and Kliazovich, Dzmitry and Bouvry, Pascal and Zomaya, Albert Y.},
	month = jun,
	year = {2015},
	pages = {98--105},
	file = {Fiandrino et al. - 2015 - Performance Metrics for Data Center Communication .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/Y7SDAJHY/Fiandrino et al. - 2015 - Performance Metrics for Data Center Communication .pdf:application/pdf}
}

@article{barroso_case_2007-1,
	title = {The {Case} for {Energy}-{Proportional} {Computing}},
	volume = {40},
	issn = {0018-9162},
	url = {http://ieeexplore.ieee.org/document/4404806/},
	doi = {10.1109/MC.2007.443},
	language = {en},
	number = {12},
	urldate = {2018-07-23},
	journal = {Computer},
	author = {Barroso, Luiz André and Hölzle, Urs},
	month = dec,
	year = {2007},
	pages = {33--37},
	file = {Barroso et Hölzle - 2007 - The Case for Energy-Proportional Computing.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/Q6ZVS8DH/Barroso et Hölzle - 2007 - The Case for Energy-Proportional Computing.pdf:application/pdf}
}

@inproceedings{legrand_scheduling_2003,
	title = {Scheduling distributed applications: the {SimGrid} simulation framework},
	isbn = {978-0-7695-1919-7},
	shorttitle = {Scheduling distributed applications},
	url = {http://ieeexplore.ieee.org/document/1199362/},
	doi = {10.1109/CCGRID.2003.1199362},
	abstract = {Since the advent of distributed computer systems an active field of research has been the investigation of scheduling strategies for parallel applications. The common approach is to employ scheduling heuristics that approximate an optimal schedule. Unfortunately, it is not possible to obtain analytical results to compare and select appropriate heuristics for a given scheduling problem. One possibility is to conducts large numbers of back-to-back experiments on real platforms. While this is possible on tightly-coupled platforms, it is infeasible on modern distributed platforms such as the Computational Grid as it is labor-intensive and does not enable repeatable results. The solution is to resort to simulations. Simulations not only lead to repeatable results but also make it possible to explore wide ranges of platform and application scenarios.},
	language = {en},
	urldate = {2018-07-23},
	publisher = {IEEE},
	author = {Legrand, A. and Marchal, L. and Casanova, H.},
	year = {2003},
	pages = {138--145},
	file = {Legrand et al. - 2003 - Scheduling distributed applications the SimGrid s.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/7JDTV4N2/Legrand et al. - 2003 - Scheduling distributed applications the SimGrid s.pdf:application/pdf}
}

@inproceedings{bonomi_fog_2012,
	title = {Fog computing and its role in the internet of things},
	isbn = {978-1-4503-1519-7},
	url = {http://dl.acm.org/citation.cfm?doid=2342509.2342513},
	doi = {10.1145/2342509.2342513},
	abstract = {Fog Computing extends the Cloud Computing paradigm to the edge of the network, thus enabling a new breed of applications and services. Defining characteristics of the Fog are: a) Low latency and location awareness; b) Wide-spread geographical distribution; c) Mobility; d) Very large number of nodes, e) Predominant role of wireless access, f) Strong presence of streaming and real time applications, g) Heterogeneity. In this paper we argue that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things (IoT) services and applications, namely, Connected Vehicle, Smart Grid , Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).},
	language = {en},
	urldate = {2018-07-23},
	publisher = {ACM Press},
	author = {Bonomi, Flavio and Milito, Rodolfo and Zhu, Jiang and Addepalli, Sateesh},
	year = {2012},
	pages = {13},
	file = {Bonomi et al. - 2012 - Fog computing and its role in the internet of thin.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/B9ZQ99L3/Bonomi et al. - 2012 - Fog computing and its role in the internet of thin.pdf:application/pdf}
}

@incollection{fratta_power_2009,
	address = {Berlin, Heidelberg},
	title = {A {Power} {Benchmarking} {Framework} for {Network} {Devices}},
	volume = {5550},
	isbn = {978-3-642-01398-0 978-3-642-01399-7},
	url = {http://link.springer.com/10.1007/978-3-642-01399-7_62},
	abstract = {Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. Researchers have proposed several strategies for energy management of networking devices. However, we need a comprehensive characterization of power consumption by a variety of switches and routers to accurately quantify the savings from the various power savings schemes. In this paper, we first describe the hurdles in network power instrumentation and present a power measurement study of a variety of networking gear such as hubs, edge switches, core switches, routers and wireless access points in both stand-alone mode and a production data center. We build and describe a benchmarking suite that will allow users to measure and compare the power consumed for a large set of common configurations at any switch or router of their choice. We also propose a network energy proportionality index, which is an easily measurable metric, to compare power consumption behaviors of multiple devices.},
	language = {en},
	urldate = {2018-07-30},
	booktitle = {{NETWORKING} 2009},
	publisher = {Springer Berlin Heidelberg},
	author = {Mahadevan, Priya and Sharma, Puneet and Banerjee, Sujata and Ranganathan, Parthasarathy},
	editor = {Fratta, Luigi and Schulzrinne, Henning and Takahashi, Yutaka and Spaniol, Otto},
	year = {2009},
	doi = {10.1007/978-3-642-01399-7_62},
	pages = {795--808},
	file = {Mahadevan et al. - 2009 - A Power Benchmarking Framework for Network Devices.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/W5CQ2BYY/Mahadevan et al. - 2009 - A Power Benchmarking Framework for Network Devices.pdf:application/pdf}
}

@inproceedings{vishwanath_estimating_2013,
	title = {Estimating the {Energy} {Consumption} for {Packet} {Processing}, {Storage} and {Switching} in {Optical}-{IP} {Routers}},
	isbn = {978-1-55752-962-6},
	url = {https://www.osapublishing.org/abstract.cfm?uri=OFC-2013-OM3A.6},
	doi = {10.1364/OFC.2013.OM3A.6},
	abstract = {We develop a methodology to empirically quantify the energy consumption associated with packet processing, storage and switching in high-capacity routers. Our approach provides valuable insights for improving the energy efficiency of routing equipment and networks.},
	language = {en},
	urldate = {2018-07-30},
	publisher = {OSA},
	author = {Vishwanath, Arun and Zhu,, Jiazhen and Hinton, K. and Ayre, Robert and Tucker, Rod},
	year = {2013},
	pages = {OM3A.6},
	file = {Vishwanath et al. - 2013 - Estimating the Energy Consumption for Packet Proce.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/YB3EW6CU/Vishwanath et al. - 2013 - Estimating the Energy Consumption for Packet Proce.pdf:application/pdf}
}

@inproceedings{hahnel_ebond:_2013,
	title = {{eBond}: energy saving in heterogeneous {R}.{A}.{I}.{N}},
	isbn = {978-1-4503-2052-8},
	shorttitle = {{eBond}},
	url = {http://dl.acm.org/citation.cfm?doid=2487166.2487188},
	doi = {10.1145/2487166.2487188},
	abstract = {Network energy is a significant, although not the largest, cost factor in medium to large scale server installations. On the other hand, most server installations work with redundant link and infrastructure layouts to reduce the risk of network outages. Introducing eBond, an energy-aware bonding network device, we exploit possible heterogeneities in these redundant layouts to adapt network device energy consumption to dynamic server bandwidth demands. Replaying the trace of a realistic scenario in a simulation of eBond with fine grain energy profiles measured at two network cards we achieve energy savings up to 75 \% for the server-side network interconnect.},
	language = {en},
	urldate = {2018-07-30},
	publisher = {ACM Press},
	author = {Hähnel, Marcus and Döbel, Björn and Völp, Marcus and Härtig, Hermann},
	year = {2013},
	pages = {193},
	file = {Hähnel et al. - 2013 - eBond energy saving in heterogeneous R.A.I.N.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/AW5HDXWL/Hähnel et al. - 2013 - eBond energy saving in heterogeneous R.A.I.N.pdf:application/pdf}
}

@article{calheiros_cloudsim:_2011,
	title = {{CloudSim}: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms},
	volume = {41},
	issn = {00380644},
	shorttitle = {{CloudSim}},
	url = {http://doi.wiley.com/10.1002/spe.995},
	doi = {10.1002/spe.995},
	abstract = {Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as ‘services’ to end-users under a usage-based payment model. It can leverage virtualized services even on the fly based on requirements (workload patterns and QoS) varying with time. The application services hosted under Cloud computing model have complex provisioning, composition, configuration, and deployment requirements. Evaluating the performance of Cloud provisioning policies, application workload models, and resources performance models in a repeatable manner under varying system and user configurations and requirements is difficult to achieve. To overcome this challenge, we propose CloudSim: an extensible simulation toolkit that enables modeling and simulation of Cloud computing systems and application provisioning environments. The CloudSim toolkit supports both system and behavior modeling of Cloud system components such as data centers, virtual machines (VMs) and resource provisioning policies. It implements generic application provisioning techniques that can be extended with ease and limited effort. Currently, it supports modeling and simulation of Cloud computing environments consisting of both single and inter-networked clouds (federation of clouds). Moreover, it exposes custom interfaces for implementing policies and provisioning techniques for allocation of VMs under inter-networked Cloud computing scenarios. Several researchers from organizations, such as HP Labs in U.S.A., are using CloudSim in their investigation on Cloud resource provisioning and energy-efficient management of data center resources. The usefulness of CloudSim is demonstrated by a case study involving dynamic provisioning of application services in the hybrid federated clouds environment. The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns. Copyright q 2010 John Wiley \& Sons, Ltd.},
	language = {en},
	number = {1},
	urldate = {2018-09-03},
	journal = {Software: Practice and Experience},
	author = {Calheiros, Rodrigo N. and Ranjan, Rajiv and Beloglazov, Anton and De Rose, César A. F. and Buyya, Rajkumar},
	month = jan,
	year = {2011},
	pages = {23--50},
	file = {Calheiros et al. - 2011 - CloudSim a toolkit for modeling and simulation of.pdf:/home/loic/Downloads/1-s2.0-S0167739X1630694X-main.pdf:application/pdf}
}

@article{stergiou_secure_2018,
	title = {Secure integration of {IoT} and {Cloud} {Computing}},
	volume = {78},
	issn = {0167739X},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0167739X1630694X},
	doi = {10.1016/j.future.2016.11.031},
	abstract = {Mobile Cloud Computing is a new technology which refers to an infrastructure where both data storage and data processing operate outside of the mobile device. Another recent technology is Internet of Things. Internet of Things is a new technology which is growing rapidly in the field of telecommunications. More specifically, IoT related with wireless telecommunications. The main goal of the interaction and cooperation between things and objects which sent through the wireless networks is to fulfill the objective set to them as a combined entity. In addition, there is a rapid development of both technologies, Cloud Computing and Internet of Things, regard the field of wireless communications. In this paper, we present a survey of IoT and Cloud Computing with a focus on the security issues of both technologies. Specifically, we combine the two aforementioned technologies (i.e Cloud Computing and IoT) in order to examine the common features, and in order to discover the benefits of their integration. Concluding, we present the contribution of Cloud Computing to the IoT technology. Thus, it shows how the Cloud Computing technology improves the function of the IoT. Finally, we survey the security challenges of the integration of IoT and Cloud Computing.},
	language = {en},
	urldate = {2018-09-26},
	journal = {Future Generation Computer Systems},
	author = {Stergiou, Christos and Psannis, Kostas E. and Kim, Byung-Gyu and Gupta, Brij},
	month = jan,
	year = {2018},
	pages = {964--975},
	file = {Stergiou et al. - 2018 - Secure integration of IoT and Cloud Computing.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/KA4P9FIC/Stergiou et al. - 2018 - Secure integration of IoT and Cloud Computing.pdf:application/pdf}
}

@article{calheiros_cloudsim:_2011-1,
	title = {{CloudSim}: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms},
	volume = {41},
	issn = {00380644},
	shorttitle = {{CloudSim}},
	url = {http://doi.wiley.com/10.1002/spe.995},
	doi = {10.1002/spe.995},
	abstract = {Cloud computing is a recent advancement wherein IT infrastructure and applications are provided as ‘services’ to end-users under a usage-based payment model. It can leverage virtualized services even on the fly based on requirements (workload patterns and QoS) varying with time. The application services hosted under Cloud computing model have complex provisioning, composition, configuration, and deployment requirements. Evaluating the performance of Cloud provisioning policies, application workload models, and resources performance models in a repeatable manner under varying system and user configurations and requirements is difficult to achieve. To overcome this challenge, we propose CloudSim: an extensible simulation toolkit that enables modeling and simulation of Cloud computing systems and application provisioning environments. The CloudSim toolkit supports both system and behavior modeling of Cloud system components such as data centers, virtual machines (VMs) and resource provisioning policies. It implements generic application provisioning techniques that can be extended with ease and limited effort. Currently, it supports modeling and simulation of Cloud computing environments consisting of both single and inter-networked clouds (federation of clouds). Moreover, it exposes custom interfaces for implementing policies and provisioning techniques for allocation of VMs under inter-networked Cloud computing scenarios. Several researchers from organizations, such as HP Labs in U.S.A., are using CloudSim in their investigation on Cloud resource provisioning and energy-efficient management of data center resources. The usefulness of CloudSim is demonstrated by a case study involving dynamic provisioning of application services in the hybrid federated clouds environment. The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns. Copyright q 2010 John Wiley \& Sons, Ltd.},
	language = {en},
	number = {1},
	urldate = {2018-09-28},
	journal = {Software: Practice and Experience},
	author = {Calheiros, Rodrigo N. and Ranjan, Rajiv and Beloglazov, Anton and De Rose, César A. F. and Buyya, Rajkumar},
	month = jan,
	year = {2011},
	pages = {23--50},
	file = {Calheiros et al. - 2011 - CloudSim a toolkit for modeling and simulation of.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/WJLN4UED/Calheiros et al. - 2011 - CloudSim a toolkit for modeling and simulation of.pdf:application/pdf}
}

@article{chernyshev_internet_2018,
	title = {Internet of {Things} ({IoT}): {Research}, {Simulators}, and {Testbeds}},
	volume = {5},
	issn = {2327-4662},
	shorttitle = {Internet of {Things} ({IoT})},
	url = {https://ieeexplore.ieee.org/document/8234579/},
	doi = {10.1109/JIOT.2017.2786639},
	abstract = {The Internet of Things (IoT) vision is increasingly being realized to facilitate convenient and efficient human living. To conduct effective IoT research using the most appropriate tools and techniques, we discuss recent research trends in the IoT area along with current challenges faced by the IoT research community. Several existing and emerging IoT research areas such as lightweight energy-efficient protocol development, object cognition and intelligence, as well as the critical need for robust security and privacy mechanisms will continue to be significant fields of research for IoT. IoT research can be a challenging process spanning both virtual and physical domains through the use of simulators and testbeds to develop and validate the initial proof-of-concepts and subsequent prototypes. To support researchers in planning IoT research activities, we present a comparative analysis of existing simulation tools categorized based on the scope of coverage of the IoT architecture layers. We compare existing large-scale IoT testbeds that have been adopted by researchers for examining the physical IoT prototypes. Finally, we discuss several open challenges of current IoT simulators and testbeds that need to be addressed by the IoT research community to conduct large-scale, robust and effective IoT simulation, and prototype evaluations.},
	language = {en},
	number = {3},
	urldate = {2018-10-23},
	journal = {IEEE Internet of Things Journal},
	author = {Chernyshev, Maxim and Baig, Zubair and Bello, Oladayo and Zeadally, Sherali},
	month = jun,
	year = {2018},
	pages = {1637--1647},
	file = {Chernyshev et al. - 2018 - Internet of Things (IoT) Research, Simulators, an.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/XS8M7TK2/Chernyshev et al. - 2018 - Internet of Things (IoT) Research, Simulators, an.pdf:application/pdf}
}

@article{li_joint_2018,
	title = {Joint {Admission} {Control} and {Resource} {Allocation} in {Edge} {Computing} for {Internet} of {Things}},
	volume = {32},
	issn = {0890-8044},
	url = {http://ieeexplore.ieee.org/document/8270635/},
	doi = {10.1109/MNET.2018.1700163},
	abstract = {The IoT is a novel platform for making objects more intelligent by connecting to the Internet. However, mass connections, big data processing, and huge power consumption restrict the development of IoT. In order to address these challenges, this article proposes a novel ECIoT architecture. To further enhance the system performance, radio resource and computational resource management in ECIoT are also investigated. According to the characteristics of the ECIoT, we mainly focus on admission control, computational resource allocation, and power control. To improve the performance of ECIoT, cross-layer dynamic stochastic network optimization is studied to maximize the system utility, based on the Lyapunov stochastic optimization approach. Evaluation results are provided which demonstrate that the proposed resource allocation scheme can improve throughput, reduce end-to-end delay, and also achieve an average throughput and delay trade-off. Finally, the future research topics of resource management in ECIoT are discussed.},
	language = {en},
	number = {1},
	urldate = {2018-11-12},
	journal = {IEEE Network},
	author = {Li, Shichao and Zhang, Ning and Lin, Siyu and Kong, Linghe and Katangur, Ajay and Khan, Muhammad Khurram and Ni, Minming and Zhu, Gang},
	month = jan,
	year = {2018},
	pages = {72--79},
	file = {Li et al. - 2018 - Joint Admission Control and Resource Allocation in.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/CJNAWV4P/Li et al. - 2018 - Joint Admission Control and Resource Allocation in.pdf:application/pdf}
}

@article{he_multitier_2018,
	title = {Multitier {Fog} {Computing} {With} {Large}-{Scale} {IoT} {Data} {Analytics} for {Smart} {Cities}},
	volume = {5},
	issn = {2327-4662},
	url = {https://ieeexplore.ieee.org/document/7972945/},
	doi = {10.1109/JIOT.2017.2724845},
	abstract = {Analysis of Internet of Things (IoT) sensor data is a key for achieving city smartness. In this paper a multitier fog computing model with large-scale data analytics service is proposed for smart cities applications. The multitier fog is consisted of ad-hoc fogs and dedicated fogs with opportunistic and dedicated computing resources, respectively. The proposed new fog computing model with clear functional modules is able to mitigate the potential problems of dedicated computing infrastructure and slow response in cloud computing. We run analytics benchmark experiments over fogs formed by Rapsberry Pi computers with a distributed computing engine to measure computing performance of various analytics tasks, and create easy-to-use workload models. Quality of services (QoS) aware admission control, offloading, and resource allocation schemes are designed to support data analytics services, and maximize analytics service utilities. Availability and cost models of networking and computing resources are taken into account in QoS scheme design. A scalable system level simulator is developed to evaluate the fog-based analytics service and the QoS management schemes. Experiment results demonstrate the efficiency of analytics services over multitier fogs and the effectiveness of the proposed QoS schemes. Fogs can largely improve the performance of smart city analytics services than cloud only model in terms of job blocking probability and service utility.},
	language = {en},
	number = {2},
	urldate = {2018-11-14},
	journal = {IEEE Internet of Things Journal},
	author = {He, Jianhua and Wei, Jian and Chen, Kai and Tang, Zuoyin and Zhou, Yi and Zhang, Yan},
	month = apr,
	year = {2018},
	pages = {677--686},
	file = {He et al. - 2018 - Multitier Fog Computing With Large-Scale IoT Data .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/MZIF5YP2/He et al. - 2018 - Multitier Fog Computing With Large-Scale IoT Data .pdf:application/pdf}
}

@article{velho_validity_2013-1,
	title = {On the validity of flow-level tcp network models for grid and cloud simulations},
	volume = {23},
	issn = {10493301},
	url = {http://dl.acm.org/citation.cfm?doid=2556945.2517448},
	doi = {10.1145/2517448},
	language = {en},
	number = {4},
	urldate = {2019-01-18},
	journal = {ACM Transactions on Modeling and Computer Simulation},
	author = {Velho, Pedro and Schnorr, Lucas Mello and Casanova, Henri and Legrand, Arnaud},
	month = oct,
	year = {2013},
	pages = {1--26},
	file = {Velho et al. - 2013 - On the validity of flow-level tcp network models f.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/6KIAHDBC/Velho et al. - 2013 - On the validity of flow-level tcp network models f.pdf:application/pdf}
}

@inproceedings{xiang_li_dartcsim+:_2013,
	address = {Santa Clara, CA},
	title = {{DartCSim}+: {Enhanced} {CloudSim} with the {Power} and {Network} {Models} {Integrated}},
	isbn = {978-0-7695-5028-2},
	shorttitle = {{DartCSim}+},
	url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6676752},
	doi = {10.1109/CLOUD.2013.53},
	abstract = {CloudSim is one of the most powerful simulation platforms for cloud computing. It supports the energyconscious scheduling and network simulation in the latest version. However, it still faces several limitations: 1) Current CloudSim cannot support both the power model and the network model at the same time. 2) The network components in current CloudSim do not support power-aware simulation. 3) The simulation of migration does not take into account the network overheads. To overcome these limitations, we design and implement an enhanced cloud simulation platform called DartCSim+ that supports the energy-aware network simulation and network-aware live migration. Further, we also implement a resubmit mechanism for packets transmission to provide a more real network behavior to solve transmission failure which is caused by migration or network failure. Finally, three groups of experiments are performed to demonstrate the effectiveness of DartCSim+.},
	language = {en},
	urldate = {2019-01-23},
	booktitle = {2013 {IEEE} {Sixth} {International} {Conference} on {Cloud} {Computing}},
	publisher = {IEEE},
	author = {{Xiang Li} and {Xiaohong Jiang} and {Kejiang Ye} and {Peng Huang}},
	month = jun,
	year = {2013},
	pages = {644--651},
	file = {Xiang Li et al. - 2013 - DartCSim+ Enhanced CloudSim with the Power and Ne.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/VSFCVNZA/Xiang Li et al. - 2013 - DartCSim+ Enhanced CloudSim with the Power and Ne.pdf:application/pdf}
}

@inproceedings{heinrich_predicting_2017-1,
	address = {Honolulu, HI, USA},
	title = {Predicting the {Energy}-{Consumption} of {MPI} {Applications} at {Scale} {Using} {Only} a {Single} {Node}},
	isbn = {978-1-5386-2326-8},
	url = {http://ieeexplore.ieee.org/document/8048921/},
	doi = {10.1109/CLUSTER.2017.66},
	abstract = {Monitoring and assessing the energy efficiency of supercomputers and data centers is crucial in order to limit and reduce their energy consumption. Applications from the domain of High Performance Computing (HPC), such as MPI applications, account for a significant fraction of the overall energy consumed by HPC centers. Simulation is a popular approach for studying the behavior of these applications in a variety of scenarios, and it is therefore advantageous to be able to study their energy consumption in a cost-efficient, controllable, and also reproducible simulation environment. Alas, simulators supporting HPC applications commonly lack the capability of predicting the energy consumption, particularly when target platforms consist of multi-core nodes. In this work, we aim to accurately predict the energy consumption of MPI applications via simulation. Firstly, we introduce the models required for meaningful simulations: The computation model, the communication model, and the energy model of the target platform. Secondly, we demonstrate that by carefully calibrating these models on a single node, the predicted energy consumption of HPC applications at a larger scale is very close (within a few percents) to real experiments. We further show how to integrate such models into the SimGrid simulation toolkit. In order to obtain good execution time predictions on multi-core architectures, we also establish that it is vital to correctly account for memory effects in simulation. The proposed simulator is validated through an extensive set of experiments with wellknown HPC benchmarks. Lastly, we show the simulator can be used to study applications at scale, which allows researchers to save both time and resources compared to real experiments.},
	language = {en},
	urldate = {2019-02-05},
	booktitle = {2017 {IEEE} {International} {Conference} on {Cluster} {Computing} ({CLUSTER})},
	publisher = {IEEE},
	author = {Heinrich, Franz Christian and Cornebize, Tom and Degomme, Augustin and Legrand, Arnaud and Carpen-Amarie, Alexandra and Hunold, Sascha and Orgerie, Anne-Cecile and Quinson, Martin},
	month = sep,
	year = {2017},
	pages = {92--102},
	file = {Heinrich et al. - 2017 - Predicting the Energy-Consumption of MPI Applicati.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/GZFJ5WL7/Heinrich et al. - 2017 - Predicting the Energy-Consumption of MPI Applicati.pdf:application/pdf}
}

@inproceedings{alshammari_performance_2018,
	address = {Chengdu},
	title = {Performance evaluation of cloud computing simulation tools},
	isbn = {978-1-5386-4301-3},
	url = {https://ieeexplore.ieee.org/document/8386571/},
	doi = {10.1109/ICCCBDA.2018.8386571},
	abstract = {Cloud computing experiments can be conducted on simulators before they are tested on real data centre infrastructure. However, the validation of cloud system simulations is not a well-investigated topic in the literature. It can be difficult to select the suitable tools of simulation to predict infrastructure performance due to the variety of existing cloud computing simulators and their varying levels of accuracy. This paper applies an approach to evaluate any cloud simulator through a comparative validation method against micro data centre infrastructure. We have extended earlier work in evaluating cloud computing simulators by applying the method we used to evaluate CloudSim on other tools. We present the level of accuracy for the GreenCloud simulator and Mininet platforms by applying the comparative validation method and sensitivity analysis for the results on actual and simulated performance. According to our findings, GreenCloud currently does not predict the energy consumption for a micro datacenter accurately. On the other hand, Mininet shows reasonable accuracy in modelling the network performance.},
	language = {en},
	urldate = {2019-02-05},
	booktitle = {2018 {IEEE} 3rd {International} {Conference} on {Cloud} {Computing} and {Big} {Data} {Analysis} ({ICCCBDA})},
	publisher = {IEEE},
	author = {Alshammari, Dhahi and Singer, Jeremy and Storer, Timothy},
	month = apr,
	year = {2018},
	pages = {522--526},
	file = {Alshammari et al. - 2018 - Performance evaluation of cloud computing simulati.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/5GTPM28I/Alshammari et al. - 2018 - Performance evaluation of cloud computing simulati.pdf:application/pdf}
}

@misc{noauthor_inria_nodate,
	title = {Inria - {A} {Large}-{Scale} {Wired} {Network} {Energy} {Model} for {Flow}-{Level} {Simulations}},
	url = {https://hal.inria.fr/hal-02020045}
}

@inproceedings{donassolo_fast_2010,
	address = {Chicago, Illinois},
	title = {Fast and scalable simulation of volunteer computing systems using {SimGrid}},
	isbn = {978-1-60558-942-8},
	url = {http://portal.acm.org/citation.cfm?doid=1851476.1851565},
	doi = {10.1145/1851476.1851565},
	abstract = {Advances in internetworking technology and the decreasing cost-performance ratio of commodity computing components have enabled Volunteer Computing (VC). VC platforms aggregate tens or hundreds of thousands of hosts. These hosts are typically volatile, which raises difficult research questions. Most research in this area relies on simulation. The main issue when developing VC simulators is scalability: How to perform simulations of large-scale VC platforms with reasonable amounts of memory and reasonably fast? To achieve scalability, state-of-the-art VC simulators employ simplistic simulation models and/or target on narrow platform and application scenarios. In this paper we enable VC simulations using the general-purpose SimGrid simulation framework, which provides significantly more realistic and flexible simulation capabilities than the aforementioned simulators. Our key contribution is a set of improvements to SimGrid so that it brings these benefits to VC simulations while achieving good scalability.},
	language = {en},
	urldate = {2019-04-09},
	booktitle = {Proceedings of the 19th {ACM} {International} {Symposium} on {High} {Performance} {Distributed} {Computing} - {HPDC} '10},
	publisher = {ACM Press},
	author = {Donassolo, Bruno and Casanova, Henri and Legrand, Arnaud and Velho, Pedro},
	year = {2010},
	pages = {605},
	file = {Donassolo et al. - 2010 - Fast and scalable simulation of volunteer computin.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/AAFZA8PB/Donassolo et al. - 2010 - Fast and scalable simulation of volunteer computin.pdf:application/pdf}
}

@article{li_end--end_2018,
	title = {End-to-end energy models for {Edge} {Cloud}-based {IoT} platforms: {Application} to data stream analysis in {IoT}},
	volume = {87},
	issn = {0167739X},
	shorttitle = {End-to-end energy models for {Edge} {Cloud}-based {IoT} platforms},
	abstract = {Internet of Things (IoT) is bringing an increasing number of connected devices that have a direct impact on the growth of data and energy-hungry services. These services are relying on Cloud infrastructures for storage and computing capabilities, transforming their architecture into more a distributed one based on edge facilities provided by Internet Service Providers (ISP). Yet, between the IoT device, communication network and Cloud infrastructure, it is unclear which part is the largest in terms of energy consumption. In this paper, we provide end-to-end energy models for Edge Cloud-based IoT platforms. These models are applied to a concrete scenario: data stream analysis produced by cameras embedded on vehicles. The validation combines measurements on real test-beds running the targeted application and simulations on well-known simulators for studying the scaling-up with an increasing number of IoT devices. Our results show that, for our scenario, the edge Cloud part embedding the computing resources consumes 3 times more than the IoT part comprising the IoT devices and the wireless access point.},
	language = {en},
	urldate = {2019-05-20},
	journal = {Future Generation Computer Systems},
	author = {Li, Yunbo and Orgerie, Anne-Cécile and Rodero, Ivan and Amersho, Betsegaw Lemma and Parashar, Manish and Menaud, Jean-Marc},
	month = oct,
	year = {2018},
	pages = {667--678},
	file = {Li et al. - 2018 - End-to-end energy models for Edge Cloud-based IoT .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/GBGLVC8R/Li et al. - 2018 - End-to-end energy models for Edge Cloud-based IoT .pdf:application/pdf}
}

@inproceedings{halperin_demystifying_nodate,
	title = {Demystifying 802.11n {Power} {Consumption}},
	abstract = {We report what we believe to be the first measurements of the power consumption of an 802.11n NIC across a broad set of operating states (channel width, transmit power, rates, antennas, MIMO streams, sleep, and active modes). We find the popular practice of racing to sleep (by sending data at the highest possible rate) to be a useful heuristic to save energy, but that it does not always hold. We contribute three other useful heuristics: wide channels are an energy-efficient way to increase rates; multiple RF chains are more energy-efficient only when the channel is good enough to support the highest MIMO rates; and single antenna operation is always most energy-efficient for short packets.},
	language = {en},
	author = {Halperin, Daniel and Greenstein, Ben and Sheth, Anmol and Wetherall, David},
	pages = {5},
	file = {Halperin et al. - Demystifying 802.11n Power Consumption.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/HRLJIRX4/Halperin et al. - Demystifying 802.11n Power Consumption.pdf:application/pdf},
        booktitle = {International Conference on Power Aware Computing and Systems (HotPower)},
        year = {2010},
}

@techreport{shehabi_united_2016-1,
	title = {United {States} {Data} {Center} {Energy} {Usage} {Report}},
	language = {en},
	number = {LBNL--1005775, 1372902},
	urldate = {2019-05-23},
	author = {Shehabi, Arman and Smith, Sarah and Sartor, Dale and Brown, Richard and Herrlin, Magnus and Koomey, Jonathan and Masanet, Eric and Horner, Nathaniel and Azevedo, Inês and Lintner, William},
	month = jun,
	year = {2016},
        institution = {LBNL},
	doi = {10.2172/1372902},
	file = {Shehabi et al. - 2016 - United States Data Center Energy Usage Report.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/52D7SSUY/Shehabi et al. - 2016 - United States Data Center Energy Usage Report.pdf:application/pdf}
}

@ARTICLE{Martinez2015, 
author={B. {Martinez} and M. {Montón} and I. {Vilajosana} and J. D. {Prades}}, 
journal={IEEE Sensors Journal}, 
title={{The Power of Models: Modeling Power Consumption for IoT Devices}}, 
year={2015}, 
volume={15}, 
number={10}, 
pages={5777-5789}, 
}

@ARTICLE{Minoli2017, 
author={D. {Minoli} and K. {Sohraby} and B. {Occhiogrosso}}, 
journal={IEEE Internet of Things Journal}, 
title={{IoT Considerations, Requirements, and Architectures for Smart Buildings—Energy Optimization and Next-Generation Building Management Systems}}, 
year={2017}, 
volume={4}, 
number={1}, 
pages={269-283}, 
}

@ARTICLE{Wang2016, 
author={K. {Wang} and Y. {Wang} and Y. {Sun} and S. {Guo} and J. {Wu}}, 
journal={IEEE Communications Magazine}, 
title={{Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective}}, 
year={2016}, 
volume={54}, 
number={12}, 
pages={48-54}, 
}

@article{Ejaz2017,
  author       = {Ejaz, Waleed and Naeem, Muhammad and Shahid, Adnan and Anpalagan, Alagan and Jo, Minho},
  journal      = {IEEE Communications Magazine},
  number       = {1},
  pages        = {84--91},
  title        = {Efficient energy management for the internet of things in smart cities},
  volume       = {55},
  year         = {2017},
}

@INPROCEEDINGS{Andres2017, 
author={P. {Andres-Maldonado} and P. {Ameigeiras} and J. {Prados-Garzon} and J. J. {Ramos-Munoz} and J. M. {Lopez-Soler}}, 
booktitle={IEEE International Conference on Communications Workshops (ICC Workshops)}, 
title={{Optimized LTE data transmission procedures for IoT: Device side energy consumption analysis}}, 
year={2017}, 
pages={540-545}, 
}

@INPROCEEDINGS{Gray2015, 
author={C. {Gray} and R. {Ayre} and K. {Hinton} and R. S. {Tucker}}, 
booktitle={IEEE International Conference on Communication Workshop (ICCW)}, 
title={{Power consumption of IoT access network technologies}}, 
year={2015}, 
pages={2818-2823}, 
}


@article{maity_tcp_2017,
	title = {{TCP} {Download} {Performance} in {Dense} {WiFi} {Scenarios}: {Analysis} and {Solution}},
	volume = {16},
	issn = {1536-1233},
	shorttitle = {{TCP} {Download} {Performance} in {Dense} {WiFi} {Scenarios}},
	url = {http://ieeexplore.ieee.org/document/7430293/},
	doi = {10.1109/TMC.2016.2540632},
	abstract = {How does a dense WiFi network perform, specifically for the common case of TCP download? While the empirical answer to this question is ‘poor’, analysis and experimentation in prior work has indicated that TCP clocks itself quite well, avoiding contentiondriven WiFi overload in dense settings. This paper focuses on measurements from a real-life use of WiFi in a dense scenario: a classroom where several students use the network to download quizzes and instruction material. We find that the TCP download performance is poor, contrary to that suggested by prior work. Through careful analysis, we explain the complex interaction of various phenomena which leads to this poor performance. Specifically, we observe that a small amount of upload traffic generated when downloading data upsets the TCP clocking, and increases contention on the channel. Further, contention losses lead to a vicious cycle of poor interaction with autorate adaptation and TCP’s timeout mechanism. To reduce channel contention and improve performance, we propose a modification to the AP scheduling policy to improve the performance of large TCP downloads. Our solution, WiFiRR, picks only a subset of clients to be served by the AP during any instant, and varies this set of “active” clients periodically in a round-robin fashion over all clients to ensure that no client starves. We have done extensive evaluation of WiFiRR in simulation and in real settings. By reducing the number of contending nodes at any point of time, WiFiRR improves the download time of large TCP flows upto 3:5Â of our classroom scenario. We also compare WiFiRR with state-of-the-art prior work WiFox, WiFiRR improves download time by 2:25Â over WiFox.},
	language = {en},
	number = {1},
	urldate = {2019-05-27},
	journal = {IEEE Transactions on Mobile Computing},
	author = {Maity, Mukulika and Raman, Bhaskaran and Vutukuru, Mythili},
	month = jan,
	year = {2017},
	pages = {213--227},
	file = {Maity et al. - 2017 - TCP Download Performance in Dense WiFi Scenarios .pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/XVNCPAZJ/Maity et al. - 2017 - TCP Download Performance in Dense WiFi Scenarios .pdf:application/pdf}
}

@article{jalali_fog_2016,
	title = {Fog {Computing} {May} {Help} to {Save} {Energy} in {Cloud} {Computing}},
	volume = {34},
	issn = {0733-8716},
	abstract = {Tiny computers located in end-user premises are becoming popular as local servers for Internet of Things (IoT) and Fog computing services. These highly distributed servers that can host and distribute content and applications in a peer-to-peer (P2P) fashion are known as nano data centers (nDCs). Despite the growing popularity of nano servers, their energy consumption is not well-investigated. To study energy consumption of nDCs, we propose and use flow-based and time-based energy consumption models for shared and unshared network equipment, respectively. To apply and validate these models, a set of measurements and experiments are performed to compare energy consumption of a service provided by nDCs and centralized data centers (DCs). A number of findings emerge from our study, including the factors in the system design that allow nDCs to consume less energy than its centralized counterpart. These include the type of access network attached to nano servers and nano server’s time utilization (the ratio of the idle time to active time). Additionally, the type of applications running on nDCs and factors such as number of downloads, number of updates, and amount of preloaded copies of data influence the energy cost. Our results reveal that number of hops between a user and content has little impact on the total energy consumption compared to the above-mentioned factors. We show that nano servers in Fog computing can complement centralized DCs to serve certain applications, mostly IoT applications for which the source of data is in end-user premises, and lead to energy saving if the applications (or a part of them) are off-loadable from centralized DCs and run on nDCs.},
	language = {en},
	number = {5},
	urldate = {2019-05-28},
	journal = {IEEE J. on Selected Areas in Communications},
	author = {Jalali, Fatemeh and Hinton, Kerry and Ayre, Robert and Alpcan, Tansu and Tucker, Rodney S.},
	year = {2016},
	pages = {1728--1739},
	file = {Jalali et al. - 2016 - Fog Computing May Help to Save Energy in Cloud Com.pdf:/home/loic/.zotero/zotero/383myqxk.default/zotero/storage/36J4R5W6/Jalali et al. - 2016 - Fog Computing May Help to Save Energy in Cloud Com.pdf:application/pdf}
}

@inproceedings{ns3-energywifi,
 author = {Wu, He and Nabar, Sidharth and Poovendran, Radha},
 title = {{An Energy Framework for the Network Simulator 3 (NS-3)}},
 booktitle = {International ICST Conference on Simulation Tools and Techniques (SIMUTools)},
 year = {2011},
 isbn = {978-1-936968-00-8},
 location = {Barcelona, Spain},
 pages = {222--230},
} 


@inproceedings{Samie2016,
 author = {Samie, Farzad and Bauer, Lars and Henkel, J\"{o}rg},
 title = {IoT Technologies for Embedded Computing: A Survey},
 booktitle = {IEEE/ACM/IFIP CODES},
 year = {2016},
}


@ARTICLE{Sarkar2018,
author={S. {Sarkar} and S. {Chatterjee} and S. {Misra}},
journal={IEEE Transactions on Cloud Computing},
title={{Assessment of the Suitability of Fog Computing in the Context of Internet of Things}},
year={2018},
volume={6},
number={1},
pages={46-59},
} 

@misc{Sandvine2018,
author = {Sandvine},
title = {{The Global Internet Phenomena Report}},
year = {2018},
month = Oct,
howpublished={\url{https://www.sandvine.com/phenomena}}
}

@misc{Cisco2019,
author = {Cisco},
title = {{Cisco Visual Networking Index: Forecast and Trends, 2017–2022}},
year = {2019},
month = Feb,
howpublished = {White paper}
}

@misc{ShiftProject,
author = {{The Shift Project}},
title = {{Lean ICT, Pour une sobri\'et\'e num\'erique}},
year = {2018},
month = Oct,
howpublished = {https://theshiftproject.org/article/pour-une-sobriete-numerique-rapport-shift/}
}

@article{Tao2016,
title = {{Internet of Things in product life-cycle energy management}},
journal = "Journal of Industrial Information Integration",
volume = "1",
pages = "26 - 39",
year = "2016",
author = "Fei Tao and Yiwen Wang and Ying Zuo and Haidong Yang and Meng Zhang",
}

@misc{Nest,
title={{Nest Learning Thermostat -- Spec Sheet}},
year = {2017},
howpublished = {\url{https://nest.com/-downloads/press/documents/nest-thermostat-fact-sheet_2017.pdf}},
author = {Google}
}

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