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Change "Table 1" refs
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@ -315,7 +315,7 @@ and transmission technologies.
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randomly in a rectangle of $400m^2$ around the AP which corresponds
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randomly in a rectangle of $400m^2$ around the AP which corresponds
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to a typical use case for a home environment. All
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to a typical use case for a home environment. All
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the cell nodes employ the default WIFI energy model provided by ns3. The different
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the cell nodes employ the default WIFI energy model provided by ns3. The different
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energy values used by the energy model are provided in Table 1. These parameters
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energy values used by the energy model are provided in Table \ref{tab:params}. These parameters
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were extracted from previous work\cite{halperin_demystifying_nodate,li_end--end_2018} On
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were extracted from previous work\cite{halperin_demystifying_nodate,li_end--end_2018} On
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IEEE 802.11n. Besides, we suppose that the energy source of each
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IEEE 802.11n. Besides, we suppose that the energy source of each
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nodes is not limited during the experiments. Thus each node
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nodes is not limited during the experiments. Thus each node
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@ -350,6 +350,7 @@ and transmission technologies.
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Pkt (Tx/Rx) & 192.0nJ \\ \bottomrule
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Pkt (Tx/Rx) & 192.0nJ \\ \bottomrule
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\end{tabular}
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\end{tabular}
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}
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}
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\label{tab:params}
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\end{table}
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\end{table}
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#+END_EXPORT
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#+END_EXPORT
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@ -366,7 +367,7 @@ and transmission technologies.
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model for the dynamic energy consumption
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model for the dynamic energy consumption
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\cite{sivaraman_profiling_2011,Serrano2015}, and it includes also a static energy consumption.
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\cite{sivaraman_profiling_2011,Serrano2015}, and it includes also a static energy consumption.
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The different values used to instantiate the ECOFEN energy model for the
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The different values used to instantiate the ECOFEN energy model for the
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network part are shown in left part of Table 1 and come from previous work
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network part are shown in left part of Table \ref{tab:params} and come from previous work
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\cite{cornea_studying_2014-1}.
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\cite{cornea_studying_2014-1}.
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** Cloud Part
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** Cloud Part
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@ -571,7 +572,7 @@ In our case with small and sporadic network traffic, these results show that wit
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Concerning the IoT part, we include the entire IoT device power
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Concerning the IoT part, we include the entire IoT device power
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consumption. Indeed, in our targeted low-bandwidth IoT application,
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consumption. Indeed, in our targeted low-bandwidth IoT application,
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the sensor is dedicated to this application. From Table 1, one can
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the sensor is dedicated to this application. From Table \ref{tab:params}, one can
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derive that the static power
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derive that the static power
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consumption of one IoT sensor is around 0.9 Watts. Its dynamic part
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consumption of one IoT sensor is around 0.9 Watts. Its dynamic part
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depends on the transmission frequency.
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depends on the transmission frequency.
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@ -608,7 +609,7 @@ In our case with small and sporadic network traffic, these results show that wit
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summarizes the parameters used in our model, they are taken from
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summarizes the parameters used in our model, they are taken from
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\cite{mahadevan_power_2009,Hassidim2013}. These are the parameters
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\cite{mahadevan_power_2009,Hassidim2013}. These are the parameters
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used in our formula to compute the values that we used in the
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used in our formula to compute the values that we used in the
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simulations and that are presented in left part of Table 1.
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simulations and that are presented in left part of Table \ref{tab:params}.
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