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Loïc Guégan 2024-06-30 14:49:37 +02:00
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source("renv/activate.R")

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\begin{table*}
\centering
\caption{Simulation results using the strategy_combined strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.}
\begin{tabular}{crlllllll}
\toprule
\multirow{2}{*}{Uptime} & \multirow{2}{*}{Scenario} & \multirow{2}{*}{$\# Succ_p$} & \multicolumn{2}{c}{Energy Consumption (J)} & \multicolumn{2}{c}{$eOvhd(p)$ (\%)} & \multicolumn{2}{c}{$eff(p)$ (J)}\\
\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9}
&&&Sender & Receiver&Sender & Receiver&Sender & Receiver\\
\midrule
\multicolumn{9}{c}{LoRa}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 617.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 581.14}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&extended&\makebox[0.5cm]{\hfill 6.02}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1004.36}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 612.06}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +62.68}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +5.32}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 166.84}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 101.67}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 628.74}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 586.07}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +1.84}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.85}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&hintandextended&\makebox[0.5cm]{\hfill 8.05}~{\color{green!60}\textbf{+1.51}}&\makebox[0.8cm]{\hfill 1130.67}~{\color{red!60}\textbf{+94.91}}&\makebox[0.8cm]{\hfill 639.55}~{\color{red!60}\textbf{+19.93}}&\makebox[0.7cm]{\hfill +83.14}~{\color{red!60}\textbf{+15.37}}&\makebox[0.7cm]{\hfill +10.05}~{\color{red!60}\textbf{+3.43}}&\makebox[0.65cm]{\hfill 140.37}~{\color{green!60}\textbf{-17.88}}&\makebox[0.65cm]{\hfill 79.4}~{\color{green!60}\textbf{-15.27}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 2.18}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2032.69}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1764.97}~{\color{green!60}\textbf{-0.04}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 932.43}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 809.62}~{\color{green!60}\textbf{-0.02}}\\
&extended&\makebox[0.5cm]{\hfill 10.86}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2201.59}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1766.76}~{\color{green!60}\textbf{-0.24}}&\makebox[0.7cm]{\hfill +8.31}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.1}~{\color{green!60}\textbf{-0.01}}&\makebox[0.65cm]{\hfill 202.82}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 162.76}~{\color{green!60}\textbf{-0.02}}\\
&hint&\makebox[0.5cm]{\hfill 11.57}~{\color{green!60}\textbf{+0.39}}&\makebox[0.8cm]{\hfill 2136.67}~{\color{red!60}\textbf{+5}}&\makebox[0.8cm]{\hfill 2096.91}~{\color{red!60}\textbf{+22.75}}&\makebox[0.7cm]{\hfill +5.12}~{\color{red!60}\textbf{+0.25}}&\makebox[0.7cm]{\hfill +18.81}~{\color{red!60}\textbf{+1.29}}&\makebox[0.65cm]{\hfill 184.67}~{\color{green!60}\textbf{-6.08}}&\makebox[0.65cm]{\hfill 181.24}~{\color{green!60}\textbf{-4.37}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.97}~{\color{green!60}\textbf{+0.08}}&\makebox[0.8cm]{\hfill 2280.6}~{\color{red!60}\textbf{+21.51}}&\makebox[0.8cm]{\hfill 1926.49}~{\color{red!60}\textbf{+26.79}}&\makebox[0.7cm]{\hfill +12.2}~{\color{red!60}\textbf{+1.06}}&\makebox[0.7cm]{\hfill +9.15}~{\color{red!60}\textbf{+1.52}}&\makebox[0.65cm]{\hfill 190.53}~{\color{red!60}\textbf{+0.53}}&\makebox[0.65cm]{\hfill 160.94}~{\color{red!60}\textbf{+1.17}}\\
\midrule
\multicolumn{9}{c}{NbIoT}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 2.44}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 714.79}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 593.47}~{\color{green!60}\textbf{-0.05}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 292.35}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 242.73}~{\color{green!60}\textbf{-0.02}}\\
&extended&\makebox[0.5cm]{\hfill 6.38}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 760.83}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 591.14}~{\color{green!60}\textbf{-0.14}}&\makebox[0.7cm]{\hfill +6.44}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.39}~{\color{green!60}\textbf{-0.02}}&\makebox[0.65cm]{\hfill 119.25}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 92.65}~{\color{green!60}\textbf{-0.02}}\\
&hint&\makebox[0.5cm]{\hfill 6.11}~{\color{green!60}\textbf{+1.31}}&\makebox[0.8cm]{\hfill 821.32}~{\color{red!60}\textbf{+49.46}}&\makebox[0.8cm]{\hfill 627.96}~{\color{red!60}\textbf{+13.15}}&\makebox[0.7cm]{\hfill +14.9}~{\color{red!60}\textbf{+6.92}}&\makebox[0.7cm]{\hfill +5.81}~{\color{red!60}\textbf{+2.22}}&\makebox[0.65cm]{\hfill 134.42}~{\color{green!60}\textbf{-26.21}}&\makebox[0.65cm]{\hfill 102.78}~{\color{green!60}\textbf{-25.18}}\\
&hintandextended&\makebox[0.5cm]{\hfill 9.82}~{\color{green!60}\textbf{+2.23}}&\makebox[0.8cm]{\hfill 858.74}~{\color{red!60}\textbf{+67.89}}&\makebox[0.8cm]{\hfill 635.36}~{\color{red!60}\textbf{+25.17}}&\makebox[0.7cm]{\hfill +20.14}~{\color{red!60}\textbf{+9.5}}&\makebox[0.7cm]{\hfill +7.06}~{\color{red!60}\textbf{+4.25}}&\makebox[0.65cm]{\hfill 87.45}~{\color{green!60}\textbf{-16.75}}&\makebox[0.65cm]{\hfill 64.7}~{\color{green!60}\textbf{-15.69}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 10.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2034.67}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1761.97}~{\color{green!60}\textbf{-3.14}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 196.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 169.99}~{\color{green!60}\textbf{-0.3}}\\
&extended&\makebox[0.5cm]{\hfill 11.12}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2026.21}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1748.93}~{\color{green!60}\textbf{-3.9}}&\makebox[0.7cm]{\hfill -0.42}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.74}~{\color{green!60}\textbf{-0.04}}&\makebox[0.65cm]{\hfill 182.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 157.35}~{\color{green!60}\textbf{-0.35}}\\
&hint&\makebox[0.5cm]{\hfill 11.96}~{\color{green!60}\textbf{+0.12}}&\makebox[0.8cm]{\hfill 2055.21}~{\color{red!60}\textbf{+1.43}}&\makebox[0.8cm]{\hfill 2028.09}~{\color{green!60}\textbf{-40.16}}&\makebox[0.7cm]{\hfill +1.01}~{\color{red!60}\textbf{+0.07}}&\makebox[0.7cm]{\hfill +15.1}~{\color{green!60}\textbf{-2.07}}&\makebox[0.65cm]{\hfill 171.84}~{\color{green!60}\textbf{-1.55}}&\makebox[0.65cm]{\hfill 169.57}~{\color{green!60}\textbf{-5.04}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.97}~{\color{green!60}\textbf{+0.07}}&\makebox[0.8cm]{\hfill 2044.19}~{\color{red!60}\textbf{+1.64}}&\makebox[0.8cm]{\hfill 2019.51}~{\color{green!60}\textbf{-20.2}}&\makebox[0.7cm]{\hfill +0.47}~{\color{red!60}\textbf{+0.08}}&\makebox[0.7cm]{\hfill +14.62}~{\color{green!60}\textbf{-0.94}}&\makebox[0.65cm]{\hfill 170.71}~{\color{green!60}\textbf{-0.87}}&\makebox[0.65cm]{\hfill 168.64}~{\color{green!60}\textbf{-2.69}}\\
\bottomrule
\end{tabular}
\end{table*}

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\begin{table*}
\centering
\caption{Simulation results using the strategy_farhint strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.}
\begin{tabular}{crlllllll}
\toprule
\multirow{2}{*}{Uptime} & \multirow{2}{*}{Scenario} & \multirow{2}{*}{$\# Succ_p$} & \multicolumn{2}{c}{Energy Consumption (J)} & \multicolumn{2}{c}{$eOvhd(p)$ (\%)} & \multicolumn{2}{c}{$eff(p)$ (J)}\\
\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9}
&&&Sender & Receiver&Sender & Receiver&Sender & Receiver\\
\midrule
\multicolumn{9}{c}{LoRa}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 617.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 581.14}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&extended&\makebox[0.5cm]{\hfill 6.02}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1004.36}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 612.06}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +62.68}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +5.32}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 166.84}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 101.67}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 628.74}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 586.07}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +1.84}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.85}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&hintandextended&\makebox[0.5cm]{\hfill 8.11}~{\color{green!60}\textbf{+1.56}}&\makebox[0.8cm]{\hfill 1133.5}~{\color{red!60}\textbf{+97.74}}&\makebox[0.8cm]{\hfill 642.2}~{\color{red!60}\textbf{+22.58}}&\makebox[0.7cm]{\hfill +83.6}~{\color{red!60}\textbf{+15.83}}&\makebox[0.7cm]{\hfill +10.51}~{\color{red!60}\textbf{+3.89}}&\makebox[0.65cm]{\hfill 139.85}~{\color{green!60}\textbf{-18.4}}&\makebox[0.65cm]{\hfill 79.24}~{\color{green!60}\textbf{-15.44}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 2.18}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2032.69}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1765.01}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 932.43}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 809.64}~{\color{blue!60}\textbf{=}}\\
&extended&\makebox[0.5cm]{\hfill 10.86}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2201.59}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1767}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +8.31}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.11}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 202.82}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 162.78}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 11.68}~{\color{green!60}\textbf{+0.5}}&\makebox[0.8cm]{\hfill 2137.52}~{\color{red!60}\textbf{+5.85}}&\makebox[0.8cm]{\hfill 2140.98}~{\color{red!60}\textbf{+66.82}}&\makebox[0.7cm]{\hfill +5.16}~{\color{red!60}\textbf{+0.29}}&\makebox[0.7cm]{\hfill +21.3}~{\color{red!60}\textbf{+3.79}}&\makebox[0.65cm]{\hfill 183.01}~{\color{green!60}\textbf{-7.75}}&\makebox[0.65cm]{\hfill 183.3}~{\color{green!60}\textbf{-2.3}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.99}~{\color{green!60}\textbf{+0.1}}&\makebox[0.8cm]{\hfill 2254.61}~{\color{green!60}\textbf{-4.48}}&\makebox[0.8cm]{\hfill 1985.64}~{\color{red!60}\textbf{+85.94}}&\makebox[0.7cm]{\hfill +10.92}~{\color{green!60}\textbf{-0.22}}&\makebox[0.7cm]{\hfill +12.5}~{\color{red!60}\textbf{+4.87}}&\makebox[0.65cm]{\hfill 187.96}~{\color{green!60}\textbf{-2.04}}&\makebox[0.65cm]{\hfill 165.54}~{\color{red!60}\textbf{+5.77}}\\
\midrule
\multicolumn{9}{c}{NbIoT}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 2.44}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 714.79}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 593.52}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 292.35}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 242.75}~{\color{blue!60}\textbf{=}}\\
&extended&\makebox[0.5cm]{\hfill 6.38}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 760.83}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 591.28}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +6.44}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.38}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 119.25}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 92.68}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 7.72}~{\color{green!60}\textbf{+2.92}}&\makebox[0.8cm]{\hfill 856.17}~{\color{red!60}\textbf{+84.31}}&\makebox[0.8cm]{\hfill 665.08}~{\color{red!60}\textbf{+50.27}}&\makebox[0.7cm]{\hfill +19.78}~{\color{red!60}\textbf{+11.8}}&\makebox[0.7cm]{\hfill +12.06}~{\color{red!60}\textbf{+8.47}}&\makebox[0.65cm]{\hfill 110.9}~{\color{green!60}\textbf{-49.73}}&\makebox[0.65cm]{\hfill 86.15}~{\color{green!60}\textbf{-41.8}}\\
&hintandextended&\makebox[0.5cm]{\hfill 10.22}~{\color{green!60}\textbf{+2.63}}&\makebox[0.8cm]{\hfill 864.57}~{\color{red!60}\textbf{+73.72}}&\makebox[0.8cm]{\hfill 661.81}~{\color{red!60}\textbf{+51.62}}&\makebox[0.7cm]{\hfill +20.96}~{\color{red!60}\textbf{+10.31}}&\makebox[0.7cm]{\hfill +11.51}~{\color{red!60}\textbf{+8.7}}&\makebox[0.65cm]{\hfill 84.55}~{\color{green!60}\textbf{-19.64}}&\makebox[0.65cm]{\hfill 64.72}~{\color{green!60}\textbf{-15.67}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 10.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2034.67}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1765.11}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 196.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 170.3}~{\color{blue!60}\textbf{=}}\\
&extended&\makebox[0.5cm]{\hfill 11.12}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2026.21}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1752.83}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.42}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.7}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 182.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 157.7}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 11.98}~{\color{green!60}\textbf{+0.14}}&\makebox[0.8cm]{\hfill 2057.18}~{\color{red!60}\textbf{+3.39}}&\makebox[0.8cm]{\hfill 2259.92}~{\color{red!60}\textbf{+191.67}}&\makebox[0.7cm]{\hfill +1.11}~{\color{red!60}\textbf{+0.17}}&\makebox[0.7cm]{\hfill +28.03}~{\color{red!60}\textbf{+10.86}}&\makebox[0.65cm]{\hfill 171.65}~{\color{green!60}\textbf{-1.74}}&\makebox[0.65cm]{\hfill 188.56}~{\color{red!60}\textbf{+13.95}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.99}~{\color{green!60}\textbf{+0.09}}&\makebox[0.8cm]{\hfill 2044.79}~{\color{red!60}\textbf{+2.24}}&\makebox[0.8cm]{\hfill 2237.9}~{\color{red!60}\textbf{+198.18}}&\makebox[0.7cm]{\hfill +0.5}~{\color{red!60}\textbf{+0.11}}&\makebox[0.7cm]{\hfill +26.79}~{\color{red!60}\textbf{+11.23}}&\makebox[0.65cm]{\hfill 170.54}~{\color{green!60}\textbf{-1.03}}&\makebox[0.65cm]{\hfill 186.65}~{\color{red!60}\textbf{+15.31}}\\
\bottomrule
\end{tabular}
\end{table*}

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\begin{table*}
\centering
\caption{Simulation results using the strategy_sor strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.}
\begin{tabular}{crlllllll}
\toprule
\multirow{2}{*}{Uptime} & \multirow{2}{*}{Scenario} & \multirow{2}{*}{$\# Succ_p$} & \multicolumn{2}{c}{Energy Consumption (J)} & \multicolumn{2}{c}{$eOvhd(p)$ (\%)} & \multicolumn{2}{c}{$eff(p)$ (J)}\\
\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9}
&&&Sender & Receiver&Sender & Receiver&Sender & Receiver\\
\midrule
\multicolumn{9}{c}{LoRa}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 617.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 581.14}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&extended&\makebox[0.5cm]{\hfill 6.02}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1004.36}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 612.06}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +62.68}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +5.32}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 166.84}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 101.67}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 628.74}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 586.07}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +1.84}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.85}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&hintandextended&\makebox[0.5cm]{\hfill 6.54}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1035.76}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 619.62}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +67.77}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +6.62}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 158.25}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 94.67}~{\color{blue!60}\textbf{=}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 2.18}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2032.69}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1763.96}~{\color{green!60}\textbf{-1.05}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 932.43}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 809.16}~{\color{green!60}\textbf{-0.48}}\\
&extended&\makebox[0.5cm]{\hfill 10.86}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2201.59}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1764.07}~{\color{green!60}\textbf{-2.93}}&\makebox[0.7cm]{\hfill +8.31}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.01}~{\color{green!60}\textbf{-0.11}}&\makebox[0.65cm]{\hfill 202.82}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 162.51}~{\color{green!60}\textbf{-0.27}}\\
&hint&\makebox[0.5cm]{\hfill 10.8}~{\color{red!60}\textbf{-0.38}}&\makebox[0.8cm]{\hfill 2133.02}~{\color{red!60}\textbf{+1.35}}&\makebox[0.8cm]{\hfill 2028.98}~{\color{green!60}\textbf{-45.18}}&\makebox[0.7cm]{\hfill +4.94}~{\color{red!60}\textbf{+0.07}}&\makebox[0.7cm]{\hfill +15.02}~{\color{green!60}\textbf{-2.49}}&\makebox[0.65cm]{\hfill 197.59}~{\color{red!60}\textbf{+6.84}}&\makebox[0.65cm]{\hfill 187.96}~{\color{red!60}\textbf{+2.35}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.85}~{\color{red!60}\textbf{-0.04}}&\makebox[0.8cm]{\hfill 2251.64}~{\color{green!60}\textbf{-7.45}}&\makebox[0.8cm]{\hfill 1879.74}~{\color{green!60}\textbf{-19.96}}&\makebox[0.7cm]{\hfill +10.77}~{\color{green!60}\textbf{-0.37}}&\makebox[0.7cm]{\hfill +6.56}~{\color{green!60}\textbf{-1.07}}&\makebox[0.65cm]{\hfill 190.01}~{\color{red!60}\textbf{+0.01}}&\makebox[0.65cm]{\hfill 158.63}~{\color{green!60}\textbf{-1.14}}\\
\midrule
\multicolumn{9}{c}{NbIoT}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 2.44}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 714.79}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 592.29}~{\color{green!60}\textbf{-1.22}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 292.35}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 242.25}~{\color{green!60}\textbf{-0.5}}\\
&extended&\makebox[0.5cm]{\hfill 6.38}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 760.83}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 588.96}~{\color{green!60}\textbf{-2.32}}&\makebox[0.7cm]{\hfill +6.44}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.56}~{\color{green!60}\textbf{-0.19}}&\makebox[0.65cm]{\hfill 119.25}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 92.31}~{\color{green!60}\textbf{-0.36}}\\
&hint&\makebox[0.5cm]{\hfill 4.69}~{\color{red!60}\textbf{-0.11}}&\makebox[0.8cm]{\hfill 777.89}~{\color{red!60}\textbf{+6.03}}&\makebox[0.8cm]{\hfill 608.42}~{\color{green!60}\textbf{-6.39}}&\makebox[0.7cm]{\hfill +8.83}~{\color{red!60}\textbf{+0.84}}&\makebox[0.7cm]{\hfill +2.72}~{\color{green!60}\textbf{-0.86}}&\makebox[0.65cm]{\hfill 165.86}~{\color{red!60}\textbf{+5.23}}&\makebox[0.65cm]{\hfill 129.73}~{\color{red!60}\textbf{+1.77}}\\
&hintandextended&\makebox[0.5cm]{\hfill 7.32}~{\color{red!60}\textbf{-0.26}}&\makebox[0.8cm]{\hfill 785.91}~{\color{green!60}\textbf{-4.95}}&\makebox[0.8cm]{\hfill 602.98}~{\color{green!60}\textbf{-7.21}}&\makebox[0.7cm]{\hfill +9.95}~{\color{green!60}\textbf{-0.69}}&\makebox[0.7cm]{\hfill +1.8}~{\color{green!60}\textbf{-1.01}}&\makebox[0.65cm]{\hfill 107.29}~{\color{red!60}\textbf{+3.09}}&\makebox[0.65cm]{\hfill 82.32}~{\color{red!60}\textbf{+1.92}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 10.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2034.67}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1729.62}~{\color{green!60}\textbf{-35.49}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 196.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 166.87}~{\color{green!60}\textbf{-3.42}}\\
&extended&\makebox[0.5cm]{\hfill 11.12}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2026.21}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1717.55}~{\color{green!60}\textbf{-35.28}}&\makebox[0.7cm]{\hfill -0.42}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.7}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 182.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 154.53}~{\color{green!60}\textbf{-3.17}}\\
&hint&\makebox[0.5cm]{\hfill 11.79}~{\color{red!60}\textbf{-0.06}}&\makebox[0.8cm]{\hfill 2054.06}~{\color{red!60}\textbf{+0.27}}&\makebox[0.8cm]{\hfill 1937.27}~{\color{green!60}\textbf{-130.97}}&\makebox[0.7cm]{\hfill +0.95}~{\color{red!60}\textbf{+0.01}}&\makebox[0.7cm]{\hfill +12.01}~{\color{green!60}\textbf{-5.17}}&\makebox[0.65cm]{\hfill 174.22}~{\color{red!60}\textbf{+0.83}}&\makebox[0.65cm]{\hfill 164.31}~{\color{green!60}\textbf{-10.29}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.85}~{\color{red!60}\textbf{-0.06}}&\makebox[0.8cm]{\hfill 2041.5}~{\color{green!60}\textbf{-1.05}}&\makebox[0.8cm]{\hfill 1916.28}~{\color{green!60}\textbf{-123.44}}&\makebox[0.7cm]{\hfill +0.34}~{\color{green!60}\textbf{-0.05}}&\makebox[0.7cm]{\hfill +10.79}~{\color{green!60}\textbf{-4.77}}&\makebox[0.65cm]{\hfill 172.35}~{\color{red!60}\textbf{+0.78}}&\makebox[0.65cm]{\hfill 161.78}~{\color{green!60}\textbf{-9.55}}\\
\bottomrule
\end{tabular}
\end{table*}

36
analysis/figures/table_strategy_uor.org Normal file
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@ -0,0 +1,36 @@
\begin{table*}
\centering
\caption{Simulation results using the strategy_uor strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.}
\begin{tabular}{crlllllll}
\toprule
\multirow{2}{*}{Uptime} & \multirow{2}{*}{Scenario} & \multirow{2}{*}{$\# Succ_p$} & \multicolumn{2}{c}{Energy Consumption (J)} & \multicolumn{2}{c}{$eOvhd(p)$ (\%)} & \multicolumn{2}{c}{$eff(p)$ (J)}\\
\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9}
&&&Sender & Receiver&Sender & Receiver&Sender & Receiver\\
\midrule
\multicolumn{9}{c}{LoRa}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 617.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 581.14}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&extended&\makebox[0.5cm]{\hfill 6.02}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1004.36}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 612.06}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +62.68}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +5.32}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 166.84}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 101.67}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 628.74}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 586.07}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +1.84}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.85}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&hintandextended&\makebox[0.5cm]{\hfill 6.46}~{\color{red!60}\textbf{-0.08}}&\makebox[0.8cm]{\hfill 1031.35}~{\color{green!60}\textbf{-4.41}}&\makebox[0.8cm]{\hfill 617.27}~{\color{green!60}\textbf{-2.34}}&\makebox[0.7cm]{\hfill +67.05}~{\color{green!60}\textbf{-0.71}}&\makebox[0.7cm]{\hfill +6.22}~{\color{green!60}\textbf{-0.4}}&\makebox[0.65cm]{\hfill 159.53}~{\color{red!60}\textbf{+1.28}}&\makebox[0.65cm]{\hfill 95.48}~{\color{red!60}\textbf{+0.81}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 2.18}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2032.69}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1765.01}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 932.43}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 809.64}~{\color{blue!60}\textbf{=}}\\
&extended&\makebox[0.5cm]{\hfill 10.86}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2201.59}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1767}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +8.31}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +0.11}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 202.82}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 162.78}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 11.19}~{\color{green!60}\textbf{+0.01}}&\makebox[0.8cm]{\hfill 2133.37}~{\color{red!60}\textbf{+1.69}}&\makebox[0.8cm]{\hfill 2073.37}~{\color{green!60}\textbf{-0.79}}&\makebox[0.7cm]{\hfill +4.95}~{\color{red!60}\textbf{+0.08}}&\makebox[0.7cm]{\hfill +17.47}~{\color{green!60}\textbf{-0.04}}&\makebox[0.65cm]{\hfill 190.73}~{\color{green!60}\textbf{-0.02}}&\makebox[0.65cm]{\hfill 185.37}~{\color{green!60}\textbf{-0.24}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.85}~{\color{red!60}\textbf{-0.04}}&\makebox[0.8cm]{\hfill 2252.17}~{\color{green!60}\textbf{-6.92}}&\makebox[0.8cm]{\hfill 1871.36}~{\color{green!60}\textbf{-28.34}}&\makebox[0.7cm]{\hfill +10.8}~{\color{green!60}\textbf{-0.34}}&\makebox[0.7cm]{\hfill +6.03}~{\color{green!60}\textbf{-1.61}}&\makebox[0.65cm]{\hfill 190.14}~{\color{red!60}\textbf{+0.14}}&\makebox[0.65cm]{\hfill 157.99}~{\color{green!60}\textbf{-1.79}}\\
\midrule
\multicolumn{9}{c}{NbIoT}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 2.44}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 714.79}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 593.52}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 292.35}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 242.75}~{\color{blue!60}\textbf{=}}\\
&extended&\makebox[0.5cm]{\hfill 6.38}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 760.83}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 591.28}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill +6.44}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.38}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 119.25}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 92.68}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 4.66}~{\color{red!60}\textbf{-0.14}}&\makebox[0.8cm]{\hfill 768.19}~{\color{green!60}\textbf{-3.67}}&\makebox[0.8cm]{\hfill 612.71}~{\color{green!60}\textbf{-2.1}}&\makebox[0.7cm]{\hfill +7.47}~{\color{green!60}\textbf{-0.51}}&\makebox[0.7cm]{\hfill +3.23}~{\color{green!60}\textbf{-0.35}}&\makebox[0.65cm]{\hfill 164.67}~{\color{red!60}\textbf{+4.03}}&\makebox[0.65cm]{\hfill 131.34}~{\color{red!60}\textbf{+3.39}}\\
&hintandextended&\makebox[0.5cm]{\hfill 7.44}~{\color{red!60}\textbf{-0.15}}&\makebox[0.8cm]{\hfill 786.55}~{\color{green!60}\textbf{-4.31}}&\makebox[0.8cm]{\hfill 605.19}~{\color{green!60}\textbf{-5.01}}&\makebox[0.7cm]{\hfill +10.04}~{\color{green!60}\textbf{-0.6}}&\makebox[0.7cm]{\hfill +1.97}~{\color{green!60}\textbf{-0.84}}&\makebox[0.65cm]{\hfill 105.72}~{\color{red!60}\textbf{+1.52}}&\makebox[0.65cm]{\hfill 81.34}~{\color{red!60}\textbf{+0.95}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 10.37}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2034.67}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1765.11}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 196.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 170.3}~{\color{blue!60}\textbf{=}}\\
&extended&\makebox[0.5cm]{\hfill 11.12}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 2026.21}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 1752.83}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.42}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill -0.7}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 182.3}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 157.7}~{\color{blue!60}\textbf{=}}\\
&hint&\makebox[0.5cm]{\hfill 11.8}~{\color{red!60}\textbf{-0.04}}&\makebox[0.8cm]{\hfill 2053.65}~{\color{green!60}\textbf{-0.13}}&\makebox[0.8cm]{\hfill 1994.3}~{\color{green!60}\textbf{-73.95}}&\makebox[0.7cm]{\hfill +0.93}~{\color{green!60}\textbf{-0.01}}&\makebox[0.7cm]{\hfill +12.98}~{\color{green!60}\textbf{-4.19}}&\makebox[0.65cm]{\hfill 174.04}~{\color{red!60}\textbf{+0.65}}&\makebox[0.65cm]{\hfill 169.01}~{\color{green!60}\textbf{-5.6}}\\
&hintandextended&\makebox[0.5cm]{\hfill 11.84}~{\color{red!60}\textbf{-0.07}}&\makebox[0.8cm]{\hfill 2041.39}~{\color{green!60}\textbf{-1.16}}&\makebox[0.8cm]{\hfill 1965.96}~{\color{green!60}\textbf{-73.76}}&\makebox[0.7cm]{\hfill +0.33}~{\color{green!60}\textbf{-0.06}}&\makebox[0.7cm]{\hfill +11.38}~{\color{green!60}\textbf{-4.18}}&\makebox[0.65cm]{\hfill 172.49}~{\color{red!60}\textbf{+0.92}}&\makebox[0.65cm]{\hfill 166.11}~{\color{green!60}\textbf{-5.22}}\\
\bottomrule
\end{tabular}
\end{table*}

1565
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7
analysis/renv/.gitignore vendored Normal file
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@ -0,0 +1,7 @@
library/
local/
cellar/
lock/
python/
sandbox/
staging/

1220
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19
analysis/renv/settings.json Normal file
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@ -0,0 +1,19 @@
{
"bioconductor.version": null,
"external.libraries": [],
"ignored.packages": [],
"package.dependency.fields": [
"Imports",
"Depends",
"LinkingTo"
],
"ppm.enabled": null,
"ppm.ignored.urls": [],
"r.version": null,
"snapshot.type": "implicit",
"use.cache": true,
"vcs.ignore.cellar": true,
"vcs.ignore.library": true,
"vcs.ignore.local": true,
"vcs.manage.ignores": true
}

14
results/analysis_datasize2.R → analysis/scalability_datasize.R
View file

@ -4,7 +4,7 @@ library("gridExtra")
library("patchwork")
library(RColorBrewer)
data=read_csv("results_datasize.csv")
data=read_csv("../results/scalability_datasize.csv")
r_=function(x){round(x,digits=1)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
@ -125,11 +125,11 @@ w1=10
h1=4
w2=15
h2=4
ggsave("scalability_datasize_60s_sender_energy.pdf",plot=sender60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_datasize_60s_receiver_energy.pdf",plot=receiver60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_datasize_60s_success.pdf",plot=sender60sPlotSuccess,width=w2,height=h2)
ggsave("figures/scalability_datasize_60s_sender_energy.pdf",plot=sender60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_datasize_60s_receiver_energy.pdf",plot=receiver60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_datasize_60s_success.pdf",plot=sender60sPlotSuccess,width=w2,height=h2)
ggsave("scalability_datasize_180s_sender_energy.pdf",plot=sender180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_datasize_180s_receiver_energy.pdf",plot=receiver180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_datasize_180s_success.pdf",plot=sender180sPlotSuccess,width=w2,height=h2)
ggsave("figures/scalability_datasize_180s_sender_energy.pdf",plot=sender180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_datasize_180s_receiver_energy.pdf",plot=receiver180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_datasize_180s_success.pdf",plot=sender180sPlotSuccess,width=w2,height=h2)

14
results/analysis4_scalability.R → analysis/scalability_nnodes.R
View file

@ -4,7 +4,7 @@ library("gridExtra")
library("patchwork")
library(RColorBrewer)
data=read_csv("results_scalability.csv")
data=read_csv("../results/scalability_nnodes.csv")
r_=function(x){round(x,digits=1)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
@ -108,11 +108,11 @@ w1=7
h1=4
w2=15
h2=4
ggsave("scalability_60s_sender_energy.pdf",plot=sender60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_60s_receiver_energy.pdf",plot=receiver60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_60s_success.pdf",plot=sender60sPlotSuccess,width=w2,height=h2)
ggsave("figures/scalability_nnodes_60s_sender_energy.pdf",plot=sender60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_nnodes_60s_receiver_energy.pdf",plot=receiver60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_nnodes_60s_success.pdf",plot=sender60sPlotSuccess,width=w2,height=h2)
ggsave("scalability_180s_sender_energy.pdf",plot=sender180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_180s_receiver_energy.pdf",plot=receiver180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("scalability_180s_success.pdf",plot=sender180sPlotSuccess,width=w2,height=h2)
ggsave("figures/scalability_nnodes_180s_sender_energy.pdf",plot=sender180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_nnodes_180s_receiver_energy.pdf",plot=receiver180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
ggsave("figures/scalability_nnodes_180s_success.pdf",plot=sender180sPlotSuccess,width=w2,height=h2)

0
results/scheduler/analysis.sh → analysis/scheduler/analysis.sh
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0
results/scheduler/data.awk → analysis/scheduler/data.awk
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0
results/scheduler/hint.awk → analysis/scheduler/hint.awk
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0
results/scheduler/hint_fw.awk → analysis/scheduler/hint_fw.awk
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0
results/scheduler/wakeup.R → analysis/scheduler/wakeup.R
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0
results/scheduler/wakeup.awk → analysis/scheduler/wakeup.awk
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16
results/pareto.R → analysis/strategies_pareto.R
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@ -9,7 +9,7 @@ r_=function(x){round(x,digits=2)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
nolegend=function(){theme(legend.position="none")}
simkeys=unique(read_csv("results.csv")$simkey)
simkeys=unique(read_csv("../results/ccgrid2023.csv")$simkey)
nsimkeys=length(simkeys)
s_=function(x){if(x<0){return("")}else{return("+")}}
simkey_rename=function(key){
@ -67,11 +67,11 @@ return(rbind(total60%>%mutate(wakeupfor=60),total180%>%mutate(wakeupfor=180)))
}
# Load stats
stats_sor=build_stats("logs/sor_results/results.csv")%>%filter(type=="Sender")%>%mutate(strategy="SOR")
stats_uor=build_stats("logs/uor_results/results.csv")%>%filter(type=="Sender")%>%mutate(strategy="UOR")
stats_fh=build_stats("logs/farhint_results/results.csv")%>%filter(type=="Sender")%>%mutate(strategy="FH")
stats_cmb=build_stats("logs/combined/results.csv")%>%filter(type=="Sender")%>%mutate(strategy="Combined")
stats_none=build_stats("results_prev.csv")%>%filter(type=="Sender")%>%mutate(strategy="None")
stats_sor=build_stats("../results/strategy_sor.csv")%>%filter(type=="Sender")%>%mutate(strategy="SOR")
stats_uor=build_stats("../results/strategy_uor.csv")%>%filter(type=="Sender")%>%mutate(strategy="UOR")
stats_fh=build_stats("../results/strategy_farhint.csv")%>%filter(type=="Sender")%>%mutate(strategy="FH")
stats_cmb=build_stats("../results/strategy_combined.csv")%>%filter(type=="Sender")%>%mutate(strategy="Combined")
stats_none=build_stats("../results/ccgrid2023.csv")%>%filter(type=="Sender")%>%mutate(strategy="None")
stats=rbind(stats_sor,stats_uor,stats_fh,stats_cmb,stats_none)%>%filter(wireless=="nbiot",wakeupfor==60) # Change filter as you which (which plot you want down bellow)
pareto=tibble()
@ -101,7 +101,7 @@ ggplot(stats%>%dformat(),aes(energy,success,color=simkey,shape=simkey))+
labs(color="Policies:",shape="Policies:")+scale_color_brewer(palette = "Set1")+theme_minimal()+theme(text=element_text(size=20), legend.position=c(.8,.75),legend.box.background = element_rect(color="black", size=1, fill="white"))+scale_shape_manual(values = c(17,18,20,3,4))+
xlab("Sender energy consumption (J)")+ylab(TeX(r'(#Succ$_p$)'))
# +facet_wrap(~wakeupfor+wireless,scale="free")
ggsave("pareto_policies.pdf",width=10,height=9)
ggsave("figures/pareto_policies.pdf",width=10,height=9)
##### Strategies
ggplot(stats%>%dformat(),aes(energy,success,color=strategy,shape=strategy))+
@ -111,7 +111,7 @@ ggplot(stats%>%dformat(),aes(energy,success,color=strategy,shape=strategy))+
labs(color="Strategies:",shape="Strategies:")+scale_color_brewer(palette = "Dark2")+theme_minimal()+theme(text=element_text(size=20), legend.position=c(.8,.75),legend.box.background = element_rect(color="black", size=1, fill="white"))+scale_shape_manual(values = c(17,18,20,3,4))+
xlab("Sender energy consumption (J)")+ylab(TeX(r'(#Succ$_p$)'))
# +facet_wrap(~wakeupfor+wireless,scale="free")
ggsave("pareto_strategies.pdf",width=10,height=9)
ggsave("figures/pareto_strategies.pdf",width=10,height=9)
message("Pareto infos:")

26
results/analysis3.R → analysis/strategies_tables.R
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@ -8,7 +8,7 @@ r_=function(x){round(x,digits=2)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
nolegend=function(){theme(legend.position="none")}
simkeys=unique(read_csv("results.csv")$simkey)
simkeys=unique(read_csv("../results/ccgrid2023.csv")$simkey)
nsimkeys=length(simkeys)
s_=function(x){if(x<0){return("")}else{return("+")}}
simkey_rename=function(key){
@ -89,9 +89,11 @@ totalUptime%>%left_join(energy,by=c("simkey","wireless","wakeupfor","type"),suff
}
build_table=function(strategy_csv){
# Load stats
stats=build_stats("results.csv")
stats_prev=build_stats("results_prev.csv")
stats=build_stats(paste0("../results/",strategy_csv,".csv"))
stats_prev=build_stats("../results/ccgrid2023.csv")
stats=stats%>%left_join(stats_prev,by=c("simkey","wireless","wakeupfor","type"),suffix=c("","_prev"))
# Additional computations
@ -105,7 +107,7 @@ stats=stats%>%select(simkey,wireless,wakeupfor,type,energy,energy_diff,success_d
tf="tables-stats.org"
tf=paste0("figures/table_",strategy_csv,".org")
fw=function(str){write(str,file=tf,append = TRUE)}
df=function(d,rcolor=FALSE){
@ -182,10 +184,9 @@ stats%>%filter(wireless==techno)%>%group_by(wakeupfor)%>%group_walk(function(d1,
})
}
strategy="shutdown on received"
header=paste0(r"(\begin{table*}
\centering
\caption{)","Simulation results using the ",strategy,r"( strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.)",r"(}
\caption{)","Simulation results using the ",strategy_csv,r"( strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.)",r"(}
\begin{tabular}{crlllllll}
\toprule
\multirow{2}{*}{Uptime} & \multirow{2}{*}{Scenario} & \multirow{2}{*}{$\# Succ_p$} & \multicolumn{2}{c}{Energy Consumption (J)} & \multicolumn{2}{c}{$eOvhd(p)$ (\%)} & \multicolumn{2}{c}{$eff(p)$ (J)}\\
@ -207,14 +208,19 @@ fw(r"(\multicolumn{9}{c}{NbIoT}\\)")
fw(r"(\midrule)")
write_table("nbiot")
fw(footer)
}
build_table("strategy_sor")
build_table("strategy_uor")
build_table("strategy_farhint")
build_table("strategy_combined")
## Print energy sd infos
stats_sor=build_stats("logs/sor_results/results.csv")
stats_uor=build_stats("logs/uor_results/results.csv")
stats_farhint=build_stats("logs/farhint_results/results.csv")
stats_combined=build_stats("logs/combined/results.csv")
stats_sor=build_stats("../results/strategy_sor.csv")
stats_uor=build_stats("../results/strategy_uor.csv")
stats_farhint=build_stats("../results/strategy_farhint.csv")
stats_combined=build_stats("../results/strategy_combined.csv")
message(paste0("Energy std SOR: min=",
round(min(stats_sor$sd_energy)),
" max=",round(max(stats_sor$sd_energy)),

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results/analysis.R
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@ -1,148 +0,0 @@
library("tidyverse")
library("knitr")
data=read_csv("results.csv")
ccgrid=read_csv("ccgrid.csv")
r_=function(x){round(x,digits=2)}
finalEnergy=data%>%group_by(simkey,wireless,wakeupfor)%>%summarize(wireless=first(wireless),sd=sd(energy),wakeupfor=first(wakeupfor),energy=mean(energy))
#finalStats=data%>%group_by(simkey,wireless,wakeupfor,seed)%>%
# summarise(success=sum(nSend))%>%
# ungroup()%>%group_by(simkey,wireless,wakeupfor)%>%
# summarise(sd_success=sd(success),success=mean(success))
# Success
finalStats=data%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(sd_success=sd(nSend),success=mean(nSend))
# Hint Added
#hintAdded=data%>%filter(isSender==0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(hint_added=mean(hint_added))
#finalStats=finalStats%>%left_join(hintAdded,by=c("simkey","wireless","wakeupfor"))
# Sender energy
senderEnergy=data%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(senderEnergy=mean(energy),senderEnergy_sd=sd(energy))
receiverEnergy=data%>%filter(isSender==0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(receiverEnergy=mean(energy),receiverEnergy_sd=sd(energy))
finalStats=finalStats%>%left_join(senderEnergy,by=c("simkey","wireless","wakeupfor"))
finalStats=finalStats%>%left_join(receiverEnergy,by=c("simkey","wireless","wakeupfor"))
# J per success
finalStats=finalStats%>%mutate(senderJPS=senderEnergy/success)
finalStats=finalStats%>%mutate(receiverJPS=receiverEnergy/success)
# Uptime
senderUptime=data%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(senderUptime=mean(totalUptime))
receiverUptime=data%>%filter(isSender==0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(receiverUptime=mean(totalUptime))
finalStats=finalStats%>%left_join(senderUptime,by=c("simkey","wireless","wakeupfor"))
finalStats=finalStats%>%left_join(receiverUptime,by=c("simkey","wireless","wakeupfor"))
# avgTimedataRcv
avgTimeDataRcvData=data%>%filter(timeDataRcv!=-1)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(avgTimeDataRcv=mean(timeDataRcv))
finalStats=finalStats%>%left_join(avgTimeDataRcvData,by=c("simkey","wireless","wakeupfor"))
# Uptime Overhead compare to baseline
baseline=finalStats%>%filter(simkey=="baseline")%>%select(senderUptime,receiverUptime,simkey,wireless,wakeupfor)
keys=unique(finalStats$simkey)
baseline=baseline%>%uncount(length(keys),.id="id")%>%mutate(simkey=keys[id])
finalStats=finalStats%>%left_join(baseline,by=c("simkey","wireless","wakeupfor"),suffix = c("","_baseline"))
finalStats=finalStats%>%mutate(senderUptimeOverhead=senderUptime-senderUptime_baseline)
finalStats=finalStats%>%mutate(receiverUptimeOverhead=receiverUptime-receiverUptime_baseline)
# Energy Overhead (percent) compare to baseline
baseline=finalStats%>%filter(simkey=="baseline")%>%select(senderEnergy,receiverEnergy,simkey,wireless,wakeupfor)
baseline=baseline%>%uncount(length(keys),.id="id")%>%mutate(simkey=keys[id])
finalStats=finalStats%>%left_join(baseline,by=c("simkey","wireless","wakeupfor"),suffix = c("","_baseline"))
finalStats=finalStats%>%mutate(senderEnergyOverheadPercent=r_((senderEnergy-senderEnergy_baseline)/senderEnergy*100))
finalStats=finalStats%>%mutate(receiverEnergyOverheadPercent=r_((receiverEnergy-receiverEnergy_baseline)/receiverEnergy*100))
# Comparison
finalStats=finalStats%>%left_join(ccgrid,by=c("simkey","wireless","wakeupfor"),suffix = c("","_ccgrid"))
finalStats=finalStats%>%mutate(senderEnergy_err=abs(r_((senderEnergy-senderEnergy_ccgrid)/senderEnergy)*100))
finalStats=finalStats%>%mutate(receiverEnergy_err=abs(r_((receiverEnergy-receiverEnergy_ccgrid)/receiverEnergy)*100))
finalStats=finalStats%>%mutate(senderUptime_err=abs(r_((senderUptime-senderUptime_ccgrid)/senderUptime)*100))
finalStats=finalStats%>%mutate(receiverUptime_err=abs(r_((receiverUptime-receiverUptime_ccgrid)/receiverUptime)*100))
# Add nSendFail to stats
sendFail=data%>%filter(node=="on0")%>%group_by(simkey,wireless,wakeupfor)%>%summarise(nSendFail=mean(nSendFail))
finalStats=finalStats%>%left_join(sendFail,by=c("simkey","wireless","wakeupfor"))
# Add nWakeUp to stats
nWakeUpRcv=data%>%filter(node!="on0")%>%group_by(simkey,wireless,wakeupfor)%>%summarise(nWakeUpRcv=mean(nWakeUp))
finalStats=finalStats%>%left_join(nWakeUpRcv,by=c("simkey","wireless","wakeupfor"))
nWakeUpSend=data%>%filter(node=="on0")%>%group_by(simkey,wireless,wakeupfor)%>%summarise(nWakeUpSender=mean(nWakeUp))
finalStats=finalStats%>%left_join(nWakeUpSend,by=c("simkey","wireless","wakeupfor"))
ggplot(finalStats,aes(x=simkey,senderEnergy_err,color=wireless,group=wireless))+geom_point()+geom_line()+facet_wrap(~wakeupfor)+xlab("Scenarios") + ylab("Sender Energy Relative Error (%)") + expand_limits(x = 0, y = 0)
ggsave("err_sender_energy.png",width=7,height = 5)
ggplot(finalStats,aes(x=simkey,receiverEnergy_err,color=wireless,group=wireless))+geom_point()+geom_line()+facet_wrap(~wakeupfor)+xlab("Scenarios") + ylab("Receiver Energy Relative Error (%)") + expand_limits(x = 0, y = 0)
ggsave("err_receiver_energy.png",width=7,height = 5)
ggplot(finalStats,aes(x=simkey,senderUptime_err,color=wireless,group=wireless))+geom_point()+geom_line()+facet_wrap(~wakeupfor)+xlab("Scenarios") + ylab("Sender AccUptime Energy Relative Error (%)") + expand_limits(x = 0, y = 0)
ggsave("err_sender_accuptime.png",width=7,height = 5)
ggplot(finalStats,aes(x=simkey,receiverUptime_err,color=wireless,group=wireless))+geom_point()+geom_line()+facet_wrap(~wakeupfor)+xlab("Scenarios") + ylab("Receiver AccUptime Energy Relative Error (%)") + expand_limits(x = 0, y = 0)
ggsave("err_rcv_accuptime.png",width=7,height = 5)
# Generate plots
ggplot(finalEnergy,aes(x=simkey,y=energy,fill=wireless))+
geom_bar(stat="identity",position=position_dodge())+
xlab("Scenarios")+ylab("Energy (J)")+
geom_errorbar(position=position_dodge(0.9),aes(ymin=energy-sd, ymax=energy+sd),width=0.5,size=1.5,) +
facet_wrap(~ wakeupfor) +
geom_text(aes(label = r_(energy+sd), y= energy+sd),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(energy-sd), y= energy-sd),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = r_(energy), y= energy/2),fontface="bold",colour="white",position=position_dodge(0.9))
ggsave("energy.png",width=13,height = 6)
ggplot(finalStats,aes(x=simkey,y=success,fill=wireless))+
geom_bar(stat="identity",position=position_dodge())+
xlab("Scenarios")+ylab("Number of Transmission Success")+
geom_errorbar(position=position_dodge(0.9),aes(ymin=success-sd_success, ymax=success+sd_success),width=0.5,size=1.5,) +
geom_text(aes(label = r_(success+sd_success), y= success+sd_success),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(success-sd_success), y= success-sd_success),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = r_(success), y= success/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~ wakeupfor) +
ggsave("success.png")
ggplot(finalStats,aes(x=simkey,y=avgTimeDataRcv,fill=wireless))+
geom_bar(stat="identity",position=position_dodge())+
xlab("Scenarios")+ylab("Average Data Received Time")+
facet_wrap(~ wakeupfor) +
ggsave("avgDataTimeRcv.png")
ggplot(finalStats,aes(x=simkey,y=nWakeUpRcv,fill=wireless))+
geom_bar(stat="identity",position=position_dodge())+
xlab("Scenarios")+ylab("Average Number of receiver Wake up")+
facet_wrap(~ wakeupfor) +
ggsave("nWakeUpRcv.png")
ggplot(finalStats,aes(x=simkey,y=nWakeUpSender,fill=wireless))+
geom_bar(stat="identity",position=position_dodge())+
xlab("Scenarios")+ylab("Average Number of sender Wake up")+
facet_wrap(~ wakeupfor) +
ggsave("nWakeUpSender.png")
##### Save tables #####
tf="tables-energy.org"
write("",file=tf)
for(wake in unique(data$wakeupfor)){
write(kable(finalEnergy%>%filter(wireless=="lora",wakeupfor==wake)),file=tf,append=TRUE)
write("\n",file=tf,append=TRUE)
write(kable(finalEnergy%>%filter(wireless=="nbiot",wakeupfor==wake)),file=tf,append=TRUE)
write("\n",file=tf,append=TRUE)
}
tf="tables-stats.org"
write("",file=tf)
for(wake in unique(data$wakeupfor)){
write(kable(finalStats%>%filter(wireless=="lora",wakeupfor==wake)),file=tf,append=TRUE)
write("\n",file=tf,append=TRUE)
write(kable(finalStats%>%filter(wireless=="nbiot",wakeupfor==wake)),file=tf,append=TRUE)
write("\n",file=tf,append=TRUE)
}

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results/analysis2.R
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@ -1,169 +0,0 @@
library("tidyverse")
library("gridExtra")
library("patchwork")
library(RColorBrewer)
data=read_csv("results.csv")
r_=function(x){round(x,digits=1)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
nolegend=function(){theme(legend.position="none")}
simkeys=unique(data$simkey)
nsimkeys=length(simkeys)
s_=function(x){if(x<0){return("")}else{return("+")}}
simkey_rename=function(key){
if(key=="hint")
return("Hints")
if(key=="baseline")
return("Baseline")
if(key=="extended")
return("Extended")
if(key=="hintandextended")
return("Hints+Extended")
return(key)
}
dformat=function(data){
data%>%rowwise()%>%mutate(simkey=simkey_rename(simkey))%>%mutate(wireless=ifelse(wireless=="lora","LoRa","NbIoT"))
}
g_legend <- function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
legend
}
energy60=data%>%filter(wakeupfor==60)
energy60Snd=energy60%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Sender")
energy60Rcv=energy60%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Receiver")
energy60=energy60Snd%>%ungroup()%>%rbind(energy60Rcv)
energy60=energy60%>%mutate(sd_min=energy-sd,sd_max=energy+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
energy60Baseline=energy60%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
energy60=energy60%>%left_join(energy60Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
energy60=energy60%>%mutate(ovhd=energy*100/energy_baseline-100)
energy60=energy60%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),"%)"))
success60Snd=data%>%filter(wakeupfor==60)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Sender")
success60Rcv=data%>%filter(wakeupfor==60)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Receiver")
success60=rbind(success60Snd,success60Rcv)
success60=success60%>%rowwise()%>%mutate(success_txt=paste0("[",success,"]"))
energy60=energy60%>%left_join(success60)%>%rowwise()%>%mutate(infos=paste0(ovhd_txt,"\n{",r_(energy/success_orig),"}"))
energy60=energy60%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
energy60P=ggplot(energy60%>%dformat,aes(x=simkey,y=energy,fill=type))+
geom_bar(colour="black", stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=energy-sd, ymax=energy+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(energy),"\n",infos), y= min(energy)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
geom_label(data=success60%>%dformat(),aes(label = success_txt, y=35),label.padding=unit(0.35,"lines"),label.r=unit(0.09,"lines"),fill="#f0f0f0",label.size=0.5,fontface="bold",colour="black",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab(element_blank())+ylab("Energy consumption (J)")+
labs(fill="60s uptime:")+theme(legend.position="top")+color()+coord_cartesian(ylim=c(0,1200))
#ggsave("energy-60sec.png",width = 12,height=4.8)
energy180=data%>%filter(wakeupfor==180)
energy180Snd=energy180%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Sender")
energy180Rcv=energy180%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Receiver")
energy180=energy180Snd%>%ungroup()%>%rbind(energy180Rcv)%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
energy180=energy180%>%mutate(sd_min=energy-sd,sd_max=energy+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
energy180Baseline=energy180%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
energy180=energy180%>%left_join(energy180Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
energy180=energy180%>%mutate(ovhd=energy*100/energy_baseline-100)
energy180=energy180%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),"%)"))
success180Snd=data%>%filter(wakeupfor==180)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Sender")
success180Rcv=data%>%filter(wakeupfor==180)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Receiver")
success180=rbind(success180Snd,success180Rcv)
success180=success180%>%rowwise()%>%mutate(success_txt=paste0("[",success,"]"))
energy180=energy180%>%left_join(success180)%>%rowwise()%>%mutate(infos=paste0(ovhd_txt,"\n{",r_(energy/success_orig),"}"))
energy180=energy180%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
energy180P=ggplot(energy180%>%dformat,aes(x=simkey,y=energy,fill=type))+
geom_bar(colour="black",stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=energy-sd, ymax=energy+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(energy),"\n",infos), y= min(energy)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
geom_label(data=success180%>%dformat(),aes(label = success_txt, y=100),label.padding=unit(0.35,"lines"),label.r=unit(0.09,"lines"),fill="#f0f0f0",label.size=0.5,fontface="bold",colour="black",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab(element_blank())+ylab("Energy consumption (J)")+
labs(fill="180s uptime:")+theme(legend.position="top")+color2()+coord_cartesian(ylim=c(0,2600))
#ggsave("energy-180sec.png",width = 12,height=4.8)
totalUptime60=data%>%filter(wakeupfor==60)
totalUptime60Snd=totalUptime60%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Sender")
totalUptime60Rcv=totalUptime60%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Receiver")
totalUptime60=totalUptime60Snd%>%ungroup()%>%rbind(totalUptime60Rcv)%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime60=totalUptime60%>%mutate(sd_min=totalUptime-sd,sd_max=totalUptime+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
totalUptime60Baseline=totalUptime60%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
totalUptime60=totalUptime60%>%left_join(totalUptime60Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
totalUptime60=totalUptime60%>%mutate(ovhd=totalUptime-totalUptime_baseline)
totalUptime60=totalUptime60%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),")"))
totalUptime60=totalUptime60%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime60P=ggplot(totalUptime60%>%dformat,aes(x=simkey,y=totalUptime,fill=type))+
geom_bar(colour="black", stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=totalUptime-sd, ymax=totalUptime+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(totalUptime),"\n",ovhd_txt), y= min(totalUptime)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Accumulated uptime (s)")+
labs(fill="Total uptime:")+color2()+theme(legend.position="top")+coord_cartesian(ylim=c(0,2500))
totalUptime180=data%>%filter(wakeupfor==180)
totalUptime180Snd=totalUptime180%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Sender")
totalUptime180Rcv=totalUptime180%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Receiver")
totalUptime180=totalUptime180Snd%>%ungroup()%>%rbind(totalUptime180Rcv)%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime180=totalUptime180%>%mutate(sd_min=totalUptime-sd,sd_max=totalUptime+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
totalUptime180Baseline=totalUptime180%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
totalUptime180=totalUptime180%>%left_join(totalUptime180Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
totalUptime180=totalUptime180%>%mutate(ovhd=totalUptime-totalUptime_baseline)
totalUptime180=totalUptime180%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),")"))
totalUptime180=totalUptime180%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime180P=ggplot(totalUptime180%>%dformat,aes(x=simkey,y=totalUptime,fill=type))+
geom_bar(colour="black",stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=totalUptime-sd, ymax=totalUptime+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(totalUptime),"\n",ovhd_txt), y= min(totalUptime)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Accumulated uptime (s)")+
labs(fill="Total uptime:")+theme(legend.position="top")+color2()+coord_cartesian(ylim=c(0,5600))
success60=data%>%filter(wakeupfor==60)
success60=success60%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(nSend),success=mean(nSend))
success60=success60%>%mutate(sd_min=success-sd,sd_max=success+sd)
success60P=ggplot(success60%>%dformat,aes(x=simkey,y=success))+
geom_bar(stat="identity",position=position_dodge(),fill="gray50")+
geom_errorbar(position=position_dodge(0.9),aes(ymin=success-sd, ymax=success+sd),width=0.2,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = r_(success), y= success/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Number of success")+
labs(fill="Node type")+theme(legend.position="none")+color()+coord_cartesian(ylim=c(0,11))
#ggsave("success-60sec.png",width = 5.8,height=4.2)
success180=data%>%filter(wakeupfor==180)
success180=success180%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(nSend),success=mean(nSend))
success180=success180%>%mutate(sd_min=success-sd,sd_max=success+sd)
success180P=ggplot(success180%>%dformat,aes(x=simkey,y=success))+
geom_bar(stat="identity",position=position_dodge(),fill="gray50")+
geom_errorbar(position=position_dodge(0.9),aes(ymin=success-sd, ymax=success+sd),width=0.2,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = r_(success), y= success/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Number of success")+
labs(fill="Node type")+theme(legend.position="none")+color()+coord_cartesian(ylim=c(0,13))
#ggsave("success-180sec.png",width = 5.8,height=4.2)
ggsave("60sec.pdf",plot=(energy60P)/(totalUptime60P)+ plot_layout(guides = "collect")&theme(legend.position = "top"),width=12,height=7)
ggsave("180sec.pdf",plot=(energy180P)/(totalUptime180P)+ plot_layout(guides = "collect")&theme(legend.position = "top"),width=12,height=7)
ggsave("results.pdf",plot=(energy60P)/(energy180P)+ plot_layout(guides = "collect")&theme(legend.position = "top"),width=12,height=7)

169
results/analysis2_scalability.R
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@ -1,169 +0,0 @@
library("tidyverse")
library("gridExtra")
library("patchwork")
library(RColorBrewer)
data=read_csv("results.csv")
r_=function(x){round(x,digits=1)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
nolegend=function(){theme(legend.position="none")}
simkeys=unique(data$simkey)
nsimkeys=length(simkeys)
s_=function(x){if(x<0){return("")}else{return("+")}}
simkey_rename=function(key){
if(key=="hint")
return("Hints")
if(key=="baseline")
return("Baseline")
if(key=="extended")
return("Extended")
if(key=="hintandextended")
return("Hints+Extended")
return(key)
}
dformat=function(data){
data%>%rowwise()%>%mutate(simkey=simkey_rename(simkey))%>%mutate(wireless=ifelse(wireless=="lora","LoRa","NbIoT"))
}
g_legend <- function(a.gplot){
tmp <- ggplot_gtable(ggplot_build(a.gplot))
leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box")
legend <- tmp$grobs[[leg]]
legend
}
energy60=data%>%filter(wakeupfor==60)
energy60Snd=energy60%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Sender")
energy60Rcv=energy60%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Receiver")
energy60=energy60Snd%>%ungroup()%>%rbind(energy60Rcv)
energy60=energy60%>%mutate(sd_min=energy-sd,sd_max=energy+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
energy60Baseline=energy60%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
energy60=energy60%>%left_join(energy60Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
energy60=energy60%>%mutate(ovhd=energy*100/energy_baseline-100)
energy60=energy60%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),"%)"))
success60Snd=data%>%filter(wakeupfor==60)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Sender")
success60Rcv=data%>%filter(wakeupfor==60)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Receiver")
success60=rbind(success60Snd,success60Rcv)
success60=success60%>%rowwise()%>%mutate(success_txt=paste0("[",success,"]"))
energy60=energy60%>%left_join(success60)%>%rowwise()%>%mutate(infos=paste0(ovhd_txt,"\n{",r_(energy/success_orig),"}"))
energy60=energy60%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
energy60P=ggplot(energy60%>%dformat,aes(x=simkey,y=energy,fill=type))+
geom_bar(colour="black", stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=energy-sd, ymax=energy+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(energy),"\n",infos), y= min(energy)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
geom_label(data=success60%>%dformat(),aes(label = success_txt, y=35),label.padding=unit(0.35,"lines"),label.r=unit(0.09,"lines"),fill="#f0f0f0",label.size=0.5,fontface="bold",colour="black",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab(element_blank())+ylab("Energy consumption (J)")+
labs(fill="60s uptime:")+theme(legend.position="top")+color()+coord_cartesian(ylim=c(0,2200))
#ggsave("energy-60sec.png",width = 12,height=4.8)
energy180=data%>%filter(wakeupfor==180)
energy180Snd=energy180%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Sender")
energy180Rcv=energy180%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(energy),energy=mean(energy),type="Receiver")
energy180=energy180Snd%>%ungroup()%>%rbind(energy180Rcv)%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
energy180=energy180%>%mutate(sd_min=energy-sd,sd_max=energy+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
energy180Baseline=energy180%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
energy180=energy180%>%left_join(energy180Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
energy180=energy180%>%mutate(ovhd=energy*100/energy_baseline-100)
energy180=energy180%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),"%)"))
success180Snd=data%>%filter(wakeupfor==180)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Sender")
success180Rcv=data%>%filter(wakeupfor==180)%>%filter(isSender!=0)%>%group_by(simkey,wireless,wakeupfor)%>%summarise(success_orig=mean(nSend),success=r_(mean(nSend)),type="Receiver")
success180=rbind(success180Snd,success180Rcv)
success180=success180%>%rowwise()%>%mutate(success_txt=paste0("[",success,"]"))
energy180=energy180%>%left_join(success180)%>%rowwise()%>%mutate(infos=paste0(ovhd_txt,"\n{",r_(energy/success_orig),"}"))
energy180=energy180%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
energy180P=ggplot(energy180%>%dformat,aes(x=simkey,y=energy,fill=type))+
geom_bar(colour="black",stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=energy-sd, ymax=energy+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(energy),"\n",infos), y= min(energy)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
geom_label(data=success180%>%dformat(),aes(label = success_txt, y=100),label.padding=unit(0.35,"lines"),label.r=unit(0.09,"lines"),fill="#f0f0f0",label.size=0.5,fontface="bold",colour="black",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab(element_blank())+ylab("Energy consumption (J)")+
labs(fill="180s uptime:")+theme(legend.position="top")+color()+coord_cartesian(ylim=c(0,4500))
#ggsave("energy-180sec.png",width = 12,height=4.8)
totalUptime60=data%>%filter(wakeupfor==60)
totalUptime60Snd=totalUptime60%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Sender")
totalUptime60Rcv=totalUptime60%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Receiver")
totalUptime60=totalUptime60Snd%>%ungroup()%>%rbind(totalUptime60Rcv)%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime60=totalUptime60%>%mutate(sd_min=totalUptime-sd,sd_max=totalUptime+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
totalUptime60Baseline=totalUptime60%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
totalUptime60=totalUptime60%>%left_join(totalUptime60Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
totalUptime60=totalUptime60%>%mutate(ovhd=totalUptime-totalUptime_baseline)
totalUptime60=totalUptime60%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),")"))
totalUptime60=totalUptime60%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime60P=ggplot(totalUptime60%>%dformat,aes(x=simkey,y=totalUptime,fill=type))+
geom_bar(colour="black", stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=totalUptime-sd, ymax=totalUptime+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(totalUptime),"\n",ovhd_txt), y= min(totalUptime)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Accumulated uptime (s)")+
labs(fill="Total uptime:")+color2()+theme(legend.position="top")+coord_cartesian(ylim=c(0,4000))
totalUptime180=data%>%filter(wakeupfor==180)
totalUptime180Snd=totalUptime180%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Sender")
totalUptime180Rcv=totalUptime180%>%filter(isSender==0)%>%group_by(simkey,wireless)%>%summarise(sd=sd(totalUptime),totalUptime=mean(totalUptime),type="Receiver")
totalUptime180=totalUptime180Snd%>%ungroup()%>%rbind(totalUptime180Rcv)%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime180=totalUptime180%>%mutate(sd_min=totalUptime-sd,sd_max=totalUptime+sd)%>%mutate(sd_min_txt=paste0("-",r_(sd_min)))%>%mutate(sd_max_txt=paste0("+",r_(sd_max)))
totalUptime180Baseline=totalUptime180%>%filter(simkey=="baseline")%>%uncount(nsimkeys,.id="id")%>%mutate(simkey=simkeys[id])
totalUptime180=totalUptime180%>%left_join(totalUptime180Baseline,by=c("simkey","wireless","type"),suffix = c("","_baseline"))
totalUptime180=totalUptime180%>%mutate(ovhd=totalUptime-totalUptime_baseline)
totalUptime180=totalUptime180%>%rowwise()%>%mutate(ovhd_txt=paste0("(",s_(ovhd),r_(ovhd),")"))
totalUptime180=totalUptime180%>%mutate(type=factor(type,levels = c("Sender","Receiver")))
totalUptime180P=ggplot(totalUptime180%>%dformat,aes(x=simkey,y=totalUptime,fill=type))+
geom_bar(colour="black",stat="identity",position=position_dodge())+
geom_errorbar(position=position_dodge(0.9),aes(ymin=totalUptime-sd, ymax=totalUptime+sd),width=0.3,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = paste0(r_(totalUptime),"\n",ovhd_txt), y= min(totalUptime)/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Accumulated uptime (s)")+
labs(fill="Total uptime:")+theme(legend.position="top")+color2()+coord_cartesian(ylim=c(0,8800))
success60=data%>%filter(wakeupfor==60)
success60=success60%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(nSend),success=mean(nSend))
success60=success60%>%mutate(sd_min=success-sd,sd_max=success+sd)
success60P=ggplot(success60%>%dformat,aes(x=simkey,y=success))+
geom_bar(stat="identity",position=position_dodge(),fill="gray50")+
geom_errorbar(position=position_dodge(0.9),aes(ymin=success-sd, ymax=success+sd),width=0.2,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = r_(success), y= success/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Number of success")+
labs(fill="Node type")+theme(legend.position="none")+color()+coord_cartesian(ylim=c(0,11))
#ggsave("success-60sec.png",width = 5.8,height=4.2)
success180=data%>%filter(wakeupfor==180)
success180=success180%>%filter(isSender==1)%>%group_by(simkey,wireless)%>%summarise(sd=sd(nSend),success=mean(nSend))
success180=success180%>%mutate(sd_min=success-sd,sd_max=success+sd)
success180P=ggplot(success180%>%dformat,aes(x=simkey,y=success))+
geom_bar(stat="identity",position=position_dodge(),fill="gray50")+
geom_errorbar(position=position_dodge(0.9),aes(ymin=success-sd, ymax=success+sd),width=0.2,size=1)+
geom_text(aes(label = r_(sd_max), y= sd_max),vjust=-0.4,position=position_dodge(0.9))+
geom_text(aes(label = r_(sd_min), y= sd_min),vjust=+1.5,position=position_dodge(0.9))+
geom_text(aes(label = r_(success), y= success/2),fontface="bold",colour="white",position=position_dodge(0.9))+
facet_wrap(~wireless)+
xlab("Policy")+ylab("Number of success")+
labs(fill="Node type")+theme(legend.position="none")+color()+coord_cartesian(ylim=c(0,13))
#ggsave("success-180sec.png",width = 5.8,height=4.2)
ggsave("60sec.pdf",plot=(energy60P)/(totalUptime60P)+ plot_layout(guides = "collect")&theme(legend.position = "top"),width=12,height=11)
ggsave("180sec.pdf",plot=(energy180P)/(totalUptime180P)+ plot_layout(guides = "collect")&theme(legend.position = "top"),width=12,height=11)
ggsave("results.pdf",plot=(energy60P)/(energy180P)+ plot_layout(guides = "collect")&theme(legend.position = "top"),width=12,height=7)

68
results/analysis_datasize.R
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@ -1,68 +0,0 @@
library("tidyverse")
library("gridExtra")
library("patchwork")
library("knitr")
library(RColorBrewer)
library(latex2exp)
r_=function(x){round(x,digits=2)}
color=function(){scale_fill_brewer(palette = "Accent")}
color2=function(){scale_fill_brewer(palette = "Set2")}
nolegend=function(){theme(legend.position="none")}
simkeys=unique(read_csv("results.csv")$simkey)
nsimkeys=length(simkeys)
s_=function(x){if(x<0){return("")}else{return("+")}}
simkey_rename=function(key){
if(key=="hint")
return("Hints")
if(key=="baseline")
return("Baseline")
if(key=="extended")
return("Extended")
if(key=="hintandextended")
return("Hints+\nExtended")
return(key)
}
dformat=function(data){
data%>%rowwise()%>%mutate(simkey=simkey_rename(simkey))%>%
mutate(wireless=ifelse(wireless=="lora","LoRa","Nb-IoT"))%>%mutate(facet=paste0("With ",wakeupfor,"s uptime using ",wireless))
}
data=read_csv("results_datasize.csv")
data=data%>%filter(isSender!=0)%>%group_by(wakeupfor,simkey,datasize,wireless)%>%summarize(success_mean=mean(nSend),success_sd=sd(nSend))
data=data%>%mutate(datasize=ifelse(datasize==1000,"1KB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==10000,"10KB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==100000,"100KB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==500000,"500KB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==1000000,"1MB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==2000000,"2MB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==10000000,"10MB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==50000000,"50MB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==100000000,"100MB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==500000000,"500MB",as.character(datasize)))
data=data%>%mutate(datasize=ifelse(datasize==1000000000,"1GB",as.character(datasize)))
data$datasize=factor(data$datasize,levels=c("1KB","10KB","100KB","500KB","1MB","2MB","10MB","50MB","100MB","500MB","1GB"))
data=data%>%dformat()
data$facet=factor(data$facet,levels=c("With 60s uptime using LoRa","With 60s uptime using Nb-IoT","With 180s uptime using LoRa","With 180s uptime using Nb-IoT"))
#ggplot(data,aes(x=datasize,y=success, color=simkey))+geom_point()
ggplot(data,aes(x=datasize,y=success_mean,color=simkey,group=simkey))+
geom_point()+geom_line()+facet_wrap(~facet)+
xlab("Data size")+ylab(TeX(r'(#Succ$_p$)'))+scale_fill_brewer(palette = "Set1")+scale_color_brewer(palette = "Set1")+
labs(color="Policy:")+labs(fill="Standard deviation:")+
geom_ribbon(aes(ymin=success_mean-success_sd, ymax=success_mean+success_sd,fill=simkey),linetype=0,alpha=0.2)+
guides(color=guide_legend(override.aes=list(fill=NA)))+theme_bw()+ theme(legend.position="top")
ggsave("datasize.pdf",width=12,height=6)
ggplot(data%>%filter(wakeupfor==180,wireless=="LoRa"),aes(x=datasize,y=success_mean,color=simkey,group=simkey))+
geom_point()+geom_line()+facet_wrap(~facet)+
xlab("Data size")+ylab(TeX(r'(#Succ$_p$)'))+scale_fill_brewer(palette = "Set1")+scale_color_brewer(palette = "Set1")+
labs(color="Policy:")+labs(fill="Standard deviation:")+
geom_ribbon(aes(ymin=success_mean-success_sd, ymax=success_mean+success_sd,fill=simkey),linetype=0,alpha=0.2)+
guides(color=guide_legend(override.aes=list(fill=NA)))+theme_bw()+ theme(legend.position="top")
ggsave("datasize_lora180.pdf",width=9.5,height=4)

56399
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17
results/ccgrid.csv
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simkey,wireless,wakeupfor,sd_success,success,senderEnergy,receiverEnergy,senderUptime,receiverUptime
baseline,lora,60,0,0,619.73,579.84,1440,1440
extended,lora,60,2,7.70,1207.61,627.35,2564.53,1523.52
hint,lora,60,0,0,753.42,957.64,1440,2354.94
hintandextended,lora,60,2.20,9.80,1397.98,663.58,2904.50,1602.39
baseline,nbiot,60,1.12,1.27,749.69,591.07,1440,1440
extended,nbiot,60,1.80,7.16,946.39,599.13,1788.32,1447.54
hint,nbiot,60,3.45,9.72,1007.06,702.59,1440,1666.51
hintandextended,nbiot,60,2.36,9.41,1066.66,623.30,1901.47,1492.53
baseline,lora,180,1.40,1.91,2026.23,1755.92,4320,4320
extended,lora,180,0.70,11.45,2692.46,1772.35,6038.78,4364.27
hint,lora,180,0,12, 2094.09,2169.50,4320,5344.86
hintandextended,lora,180,0.24,11.94,2757.79,1867.34,6155.50,4600.09
baseline,nbiot,180,1.33,9.90,2117.65,1761.78,4320,4320
extended,nbiot,180,0.87,11.23,2311.52,1760.92,4868.78,4323.71
hint,nbiot,180,0.37,11.92,2180.07,1868.54,4320,4576.83
hintandextended,nbiot,180,0.41,11.88,2151.14,1822.44,4906.10,4473.32
1 simkey wireless wakeupfor sd_success success senderEnergy receiverEnergy senderUptime receiverUptime
2 baseline lora 60 0 0 619.73 579.84 1440 1440
3 extended lora 60 2 7.70 1207.61 627.35 2564.53 1523.52
4 hint lora 60 0 0 753.42 957.64 1440 2354.94
5 hintandextended lora 60 2.20 9.80 1397.98 663.58 2904.50 1602.39
6 baseline nbiot 60 1.12 1.27 749.69 591.07 1440 1440
7 extended nbiot 60 1.80 7.16 946.39 599.13 1788.32 1447.54
8 hint nbiot 60 3.45 9.72 1007.06 702.59 1440 1666.51
9 hintandextended nbiot 60 2.36 9.41 1066.66 623.30 1901.47 1492.53
10 baseline lora 180 1.40 1.91 2026.23 1755.92 4320 4320
11 extended lora 180 0.70 11.45 2692.46 1772.35 6038.78 4364.27
12 hint lora 180 0 12 2094.09 2169.50 4320 5344.86
13 hintandextended lora 180 0.24 11.94 2757.79 1867.34 6155.50 4600.09
14 baseline nbiot 180 1.33 9.90 2117.65 1761.78 4320 4320
15 extended nbiot 180 0.87 11.23 2311.52 1760.92 4868.78 4323.71
16 hint nbiot 180 0.37 11.92 2180.07 1868.54 4320 4576.83
17 hintandextended nbiot 180 0.41 11.88 2151.14 1822.44 4906.10 4473.32

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results/paper_.sh
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@ -1,89 +0,0 @@
#!/usr/bin/env bash
set -e
wai=$(dirname $(readlink -f "$0"))
scenarios="${wai}/../scenarios"
inputs="${wai}/../inputs.json"
simulator="make -C ${wai}/../ run"
sched="${wai}/scheduler/analysis.sh"
parser="${wai}/../parser.awk"
results="${wai}/results.csv"
aheaders="simkey,wireless,wakeupfor"
avalues="none,none,none"
log_file="${wai}/logs/$(date +%s).org" && mkdir -p "${wai}/logs/"
gen_log=0 # Should we generate logs ?
run-simulation () {
# Generate inputs
$scenarios $seed $simtime $wakeupevery $wakeupfor $n_nodes $extended $hint $poff $pon $prx $ptx $datasize $bitrate $hintsize $latency > "$inputs"
# Init logs
[ $gen_log -eq 1 ] && echo -e "* seed=$seed simtime=$simtime wakeupevery=$wakeupevery wakeupfor=$wakeupfor n_nodes=$n_nodes extended=$extended hint=$hint poff=$poff pon=$pon prx=$prx ptx=$ptx datasize=$datasize bitrate=$bitrate \n" >> "${log_file}"
# Run simulations
tmp=$(mktemp)
$simulator &> $tmp
[ $gen_log -eq 1 ] && cp $tmp "${log_file}"
# Gen csv
[ ! -e "$results" ] && { cat $tmp | $parser | sed "1 s/$/,${aheaders}/g" | sed "2,\$s/$/,${avalues}/" > "$results"; }
[ -e "$results" ] && { cat $tmp | $parser | sed 1d | sed "s/$/,${avalues}/" >> "$results"; }
# Gen scheduler analysis
#[ $seed -eq 1 ] && $sched $tmp "logs/$(echo ${avalues}|tr ',' '_')_hint${hint}_extended${extended}.png"
# Clear tmp
cat $tmp
rm $tmp
}
# Default Parameters
seed=0
simtime=86400 # One day
wakeupevery=3600
wakeupfor=60
n_nodes=13
extended="false"
hint="false"
poff=0
pon=0.4
prx=0.16
ptx=0.16
datasize=1000000 # 1Mb
hintsize=8 # Integer
latency=0 # in Seconds
bitrate="100kbps"
run-scenarios() {
# Configure number of seed per scenarios
nseed=200
# Baseline
avalues="baseline,$wireless,$wakeupfor"
for seed in 17
do
printf "\rBaseline...${seed}"
run-simulation
done
echo
}
# Clean previous runs
[ -e "${results}" ] && rm "${results}"
for wakeupfor in 60
do
# Lora
echo "----- Run Lora (wakeupfor=$wakeupfor) -----"
wireless="lora"
bitrate="50kbps"
pon=0.4
prx=0.16
ptx=0.16
latency=0
run-scenarios
done

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results/scalability_datasize_180s_receiver_energy.pdf
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58
results/scenarios/baseline.json
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@ -1,58 +0,0 @@
{
"seed": 200,
"bitrate": "0.5MBps",
"latency": 0.01,
"extended": false,
"hint_size": 8,
"nodes": {
"on0": {
"use_hint": false,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": true,
"data_size": 1000000,
"wake_ts": [
5,
50
],
"wake_duration": [
10,
10
]
},
"on1": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
0,
20
],
"wake_duration": [
10,
10
]
},
"on2": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
25
],
"wake_duration": [
10
]
}
}
}

58
results/scenarios/extended.json
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@ -1,58 +0,0 @@
{
"seed": 200,
"bitrate": "0.2MBps",
"latency": 0.01,
"extended": true,
"hint_size": 8,
"nodes": {
"on0": {
"use_hint": false,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": true,
"data_size": 1000000,
"wake_ts": [
5,
50
],
"wake_duration": [
10,
10
]
},
"on1": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
0,
20
],
"wake_duration": [
10,
10
]
},
"on2": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
25
],
"wake_duration": [
10
]
}
}
}

58
results/scenarios/hint.json
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@ -1,58 +0,0 @@
{
"seed": 200,
"bitrate": "0.5MBps",
"latency": 0.01,
"extended": false,
"hint_size": 8,
"nodes": {
"on0": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": true,
"data_size": 1000000,
"wake_ts": [
5,
50
],
"wake_duration": [
10,
10
]
},
"on1": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
0,
20
],
"wake_duration": [
10,
10
]
},
"on2": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
25
],
"wake_duration": [
10
]
}
}
}

58
results/scenarios/hint_extended.json
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@ -1,58 +0,0 @@
{
"seed": 200,
"bitrate": "0.2MBps",
"latency": 0.01,
"extended": true,
"hint_size": 8,
"nodes": {
"on0": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": true,
"data_size": 1000000,
"wake_ts": [
5,
50
],
"wake_duration": [
10,
10
]
},
"on1": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
0,
20
],
"wake_duration": [
10,
10
]
},
"on2": {
"use_hint": true,
"power_off": 0.0,
"power_on": 0.4,
"power_rx": 0.65,
"power_tx": 0.65,
"is_sender": false,
"data_size": 1000000,
"wake_ts": [
25
],
"wake_duration": [
10
]
}
}
}

52
results/scenarios/scenario.sh
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#!/usr/bin/env bash
set -e
wai=$(dirname $(readlink -f "$0"))
inputs="${wai}/../../inputs.json"
simulator="make -C ${wai}/../../ run"
run-simulation () {
# Run simulations
$simulator 2>&1
}
echo "Which scenario to run:"
echo "(a) Baseline"
echo "(b) Extended"
echo "(c) Hint"
echo "(d) Hint+Extended"
read -p "> " -n 1 -r
echo
case $REPLY in
a)
echo "Run baseline scenarios (a)"
cp ${wai}/baseline.json $inputs
run-simulation
;;
b)
echo "Run extended scenarios (b)"
cp ${wai}/extended.json $inputs
run-simulation
;;
c)
echo "Run hint scenarios (c)"
cp ${wai}/hint.json $inputs
run-simulation
;;
d)
echo "Run hint+extended scenarios (d)"
cp ${wai}/hint_extended.json $inputs
run-simulation
;;
*)
echo "Unknown choice"
exit 1
;;
esac

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13
results/scheduler/data.csv
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node,ts
on8,4398.000320
on4,4438.000960
on10,8258.000320
on6,8299.600960
on2,16300.000320
on7,16341.001280
on5,16381.400640
on1,16421.700960
on12,18289.600640
on11,18340.600640
on3,22575.000320
on9,52295.000320
1 node ts
2 on8 4398.000320
3 on4 4438.000960
4 on10 8258.000320
5 on6 8299.600960
6 on2 16300.000320
7 on7 16341.001280
8 on5 16381.400640
9 on1 16421.700960
10 on12 18289.600640
11 on11 18340.600640
12 on3 22575.000320
13 on9 52295.000320

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results/scheduler/hint.csv
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node,wakets,duration,rcvat
on4,8218.000000,180.000000,4398.000320
on4,8218.000000,180.000000,4398.000640
on6,11726.000000,180.000000,8258.000320
on6,11726.000000,180.000000,8258.000640
on2,16260.000000,180.000000,11906.000000
on7,16260.000000,180.000000,12051.000000
on5,16260.000000,180.000000,12200.800000
on7,16260.000000,180.000000,15800.000000
on1,16260.000000,180.000000,16208.200000
on2,16260.000000,180.000000,16230.000000
on1,16260.000000,180.000000,16230.000000
on2,16260.000000,180.000000,16230.000000
on1,18125.000000,180.000000,16300.000320
on5,18125.000000,180.000000,16300.000640
on7,18125.000000,180.000000,16300.000640
on5,18125.000000,180.000000,16301.000320
on7,18125.000000,180.000000,16301.000320
on1,18125.000000,180.000000,16301.000960
on5,18125.000000,180.000000,16301.000960
on1,18125.000000,180.000000,16302.000320
on5,18125.000000,180.000000,16302.000320
on1,18125.000000,180.000000,16302.000320
on5,18125.000000,180.000000,16302.000320
on5,18125.000000,180.000000,16304.600320
on5,18125.000000,180.000000,16304.600320
on1,18125.000000,180.000000,16304.600320
on1,18125.000000,180.000000,16341.400320
on1,18125.000000,180.000000,16344.000320
on1,18125.000000,180.000000,16381.400640
on1,18125.000000,180.000000,16381.400640
on12,22535.000000,180.000000,18249.000000
on12,22535.000000,180.000000,18249.000000
on12,22535.000000,180.000000,18249.000000
on12,22535.000000,180.000000,18249.000320
on11,22535.000000,180.000000,18300.000320
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81
results/scheduler/hint_fw.csv
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@ -1,81 +0,0 @@
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54358
results/scheduler/j
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54364
results/scheduler/j2
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54348
results/scheduler/log.txt
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324
results/scheduler/wakeup.csv
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|simkey |wireless | wakeupfor| sd| energy|
|:---------------|:--------|---------:|---------:|--------:|
|baseline |lora | 60| 12.24495| 583.9238|
|extended |lora | 60| 115.45964| 642.2366|
|hint |lora | 60| 20.53987| 589.3509|
|hintandextended |lora | 60| 141.76021| 677.3258|
|simkey |wireless | wakeupfor| sd| energy|
|:---------------|:--------|---------:|--------:|--------:|
|baseline |nbiot | 60| 40.62986| 602.7992|
|extended |nbiot | 60| 49.77154| 604.1915|
|hint |nbiot | 60| 83.54788| 642.8335|
|hintandextended |nbiot | 60| 75.21984| 652.5453|
|simkey |wireless | wakeupfor| sd| energy|
|:---------------|:--------|---------:|---------:|--------:|
|baseline |lora | 180| 77.43296| 1785.567|
|extended |lora | 180| 119.64561| 1800.206|
|hint |lora | 180| 215.10178| 2099.966|
|hintandextended |lora | 180| 153.73928| 1953.732|
|simkey |wireless | wakeupfor| sd| energy|
|:---------------|:--------|---------:|---------:|--------:|
|baseline |nbiot | 180| 83.57518| 1782.950|
|extended |nbiot | 180| 75.65543| 1770.256|
|hint |nbiot | 180| 201.06420| 2030.174|
|hintandextended |nbiot | 180| 202.85622| 2021.412|

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\begin{table*}
\centering
\caption{Simulation results using the shutdown on received strategy. Comparison between our previous results\cite{prev} are in color. Green indicates improvements, red shows regressions and blue indicates no change.}
\begin{tabular}{crlllllll}
\toprule
\multirow{2}{*}{Uptime} & \multirow{2}{*}{Scenario} & \multirow{2}{*}{$\# Succ_p$} & \multicolumn{2}{c}{Energy Consumption (J)} & \multicolumn{2}{c}{$eOvhd(p)$ (\%)} & \multicolumn{2}{c}{$eff(p)$ (J)}\\
\cmidrule(lr){4-5}\cmidrule(lr){6-7}\cmidrule(lr){8-9}
&&&Sender & Receiver&Sender & Receiver&Sender & Receiver\\
\midrule
\multicolumn{9}{c}{LoRa}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 764.49}~{\color{red!60}\textbf{+147.12}}&\makebox[0.8cm]{\hfill 578.68}~{\color{green!60}\textbf{-2.45}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&extended&\makebox[0.5cm]{\hfill 22.89}~{\color{green!60}\textbf{+16.87}}&\makebox[0.8cm]{\hfill 2115.26}~{\color{red!60}\textbf{+1110.9}}&\makebox[0.8cm]{\hfill 593.32}~{\color{green!60}\textbf{-18.74}}&\makebox[0.7cm]{\hfill +176.69}~{\color{red!60}\textbf{+114.01}}&\makebox[0.7cm]{\hfill +2.53}~{\color{green!60}\textbf{-2.79}}&\makebox[0.65cm]{\hfill 92.43}~{\color{green!60}\textbf{-74.41}}&\makebox[0.65cm]{\hfill 25.93}~{\color{green!60}\textbf{-75.74}}\\
&hint&\makebox[0.5cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.8cm]{\hfill 788.4}~{\color{red!60}\textbf{+159.66}}&\makebox[0.8cm]{\hfill 704.39}~{\color{red!60}\textbf{+118.32}}&\makebox[0.7cm]{\hfill +3.13}~{\color{red!60}\textbf{+1.29}}&\makebox[0.7cm]{\hfill +21.72}~{\color{red!60}\textbf{+20.87}}&\makebox[0.65cm]{\hfill --}&\makebox[0.65cm]{\hfill --}\\
&hintandextended&\makebox[0.5cm]{\hfill 23.42}~{\color{green!60}\textbf{+16.88}}&\makebox[0.8cm]{\hfill 2134.2}~{\color{red!60}\textbf{+1098.44}}&\makebox[0.8cm]{\hfill 608.27}~{\color{green!60}\textbf{-11.35}}&\makebox[0.7cm]{\hfill +179.17}~{\color{red!60}\textbf{+111.4}}&\makebox[0.7cm]{\hfill +5.11}~{\color{green!60}\textbf{-1.51}}&\makebox[0.65cm]{\hfill 91.11}~{\color{green!60}\textbf{-67.14}}&\makebox[0.65cm]{\hfill 25.97}~{\color{green!60}\textbf{-68.7}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 6.36}~{\color{green!60}\textbf{+4.18}}&\makebox[0.8cm]{\hfill 2412.24}~{\color{red!60}\textbf{+379.54}}&\makebox[0.8cm]{\hfill 1738.06}~{\color{green!60}\textbf{-26.95}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 379.58}~{\color{green!60}\textbf{-552.85}}&\makebox[0.65cm]{\hfill 273.49}~{\color{green!60}\textbf{-536.14}}\\
&extended&\makebox[0.5cm]{\hfill 46.8}~{\color{green!60}\textbf{+35.94}}&\makebox[0.8cm]{\hfill 4214.6}~{\color{red!60}\textbf{+2013.01}}&\makebox[0.8cm]{\hfill 1749.29}~{\color{green!60}\textbf{-17.71}}&\makebox[0.7cm]{\hfill +74.72}~{\color{red!60}\textbf{+66.41}}&\makebox[0.7cm]{\hfill +0.65}~{\color{red!60}\textbf{+0.53}}&\makebox[0.65cm]{\hfill 90.06}~{\color{green!60}\textbf{-112.76}}&\makebox[0.65cm]{\hfill 37.38}~{\color{green!60}\textbf{-125.4}}\\
&hint&\makebox[0.5cm]{\hfill 22.78}~{\color{green!60}\textbf{+11.61}}&\makebox[0.8cm]{\hfill 2418.8}~{\color{red!60}\textbf{+287.12}}&\makebox[0.8cm]{\hfill 3156.56}~{\color{red!60}\textbf{+1082.4}}&\makebox[0.7cm]{\hfill +0.27}~{\color{green!60}\textbf{-4.6}}&\makebox[0.7cm]{\hfill +81.61}~{\color{red!60}\textbf{+64.1}}&\makebox[0.65cm]{\hfill 106.16}~{\color{green!60}\textbf{-84.6}}&\makebox[0.65cm]{\hfill 138.54}~{\color{green!60}\textbf{-47.07}}\\
&hintandextended&\makebox[0.5cm]{\hfill 47.96}~{\color{green!60}\textbf{+36.07}}&\makebox[0.8cm]{\hfill 4297.84}~{\color{red!60}\textbf{+2038.75}}&\makebox[0.8cm]{\hfill 2954.54}~{\color{red!60}\textbf{+1054.84}}&\makebox[0.7cm]{\hfill +78.17}~{\color{red!60}\textbf{+67.03}}&\makebox[0.7cm]{\hfill +69.99}~{\color{red!60}\textbf{+62.36}}&\makebox[0.65cm]{\hfill 89.61}~{\color{green!60}\textbf{-100.39}}&\makebox[0.65cm]{\hfill 61.6}~{\color{green!60}\textbf{-98.17}}\\
\midrule
\multicolumn{9}{c}{NbIoT}\\
\midrule
\multirow{4}{*}{60}&baseline&\makebox[0.5cm]{\hfill 11.51}~{\color{green!60}\textbf{+9.06}}&\makebox[0.8cm]{\hfill 1309.61}~{\color{red!60}\textbf{+594.82}}&\makebox[0.8cm]{\hfill 586.8}~{\color{green!60}\textbf{-6.72}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 113.83}~{\color{green!60}\textbf{-178.52}}&\makebox[0.65cm]{\hfill 51}~{\color{green!60}\textbf{-191.74}}\\
&extended&\makebox[0.5cm]{\hfill 38.19}~{\color{green!60}\textbf{+31.81}}&\makebox[0.8cm]{\hfill 1723.51}~{\color{red!60}\textbf{+962.68}}&\makebox[0.8cm]{\hfill 587.42}~{\color{green!60}\textbf{-3.86}}&\makebox[0.7cm]{\hfill +31.61}~{\color{red!60}\textbf{+25.16}}&\makebox[0.7cm]{\hfill +0.11}~{\color{red!60}\textbf{+0.48}}&\makebox[0.65cm]{\hfill 45.14}~{\color{green!60}\textbf{-74.12}}&\makebox[0.65cm]{\hfill 15.38}~{\color{green!60}\textbf{-77.29}}\\
&hint&\makebox[0.5cm]{\hfill 22.78}~{\color{green!60}\textbf{+17.98}}&\makebox[0.8cm]{\hfill 1500.26}~{\color{red!60}\textbf{+728.4}}&\makebox[0.8cm]{\hfill 1086.98}~{\color{red!60}\textbf{+472.17}}&\makebox[0.7cm]{\hfill +14.56}~{\color{red!60}\textbf{+6.57}}&\makebox[0.7cm]{\hfill +85.24}~{\color{red!60}\textbf{+81.65}}&\makebox[0.65cm]{\hfill 65.86}~{\color{green!60}\textbf{-94.78}}&\makebox[0.65cm]{\hfill 47.72}~{\color{green!60}\textbf{-80.24}}\\
&hintandextended&\makebox[0.5cm]{\hfill 47.65}~{\color{green!60}\textbf{+40.06}}&\makebox[0.8cm]{\hfill 2006.18}~{\color{red!60}\textbf{+1215.33}}&\makebox[0.8cm]{\hfill 1007.15}~{\color{red!60}\textbf{+396.96}}&\makebox[0.7cm]{\hfill +53.19}~{\color{red!60}\textbf{+42.55}}&\makebox[0.7cm]{\hfill +71.64}~{\color{red!60}\textbf{+68.83}}&\makebox[0.65cm]{\hfill 42.1}~{\color{green!60}\textbf{-62.09}}&\makebox[0.65cm]{\hfill 21.14}~{\color{green!60}\textbf{-59.26}}\\
\midrule
\multirow{4}{*}{180}&baseline&\makebox[0.5cm]{\hfill 71.2}~{\color{green!60}\textbf{+60.84}}&\makebox[0.8cm]{\hfill 3974.87}~{\color{red!60}\textbf{+1940.21}}&\makebox[0.8cm]{\hfill 1763.54}~{\color{green!60}\textbf{-1.57}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.7cm]{\hfill 0}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 55.82}~{\color{green!60}\textbf{-140.48}}&\makebox[0.65cm]{\hfill 24.77}~{\color{green!60}\textbf{-145.53}}\\
&extended&\makebox[0.5cm]{\hfill 84.7}~{\color{green!60}\textbf{+73.59}}&\makebox[0.8cm]{\hfill 4045.23}~{\color{red!60}\textbf{+2019.02}}&\makebox[0.8cm]{\hfill 1751.24}~{\color{green!60}\textbf{-1.59}}&\makebox[0.7cm]{\hfill +1.77}~{\color{red!60}\textbf{+2.19}}&\makebox[0.7cm]{\hfill -0.7}~{\color{blue!60}\textbf{=}}&\makebox[0.65cm]{\hfill 47.76}~{\color{green!60}\textbf{-134.54}}&\makebox[0.65cm]{\hfill 20.67}~{\color{green!60}\textbf{-137.02}}\\
&hint&\makebox[0.5cm]{\hfill 95.26}~{\color{green!60}\textbf{+83.42}}&\makebox[0.8cm]{\hfill 4520.49}~{\color{red!60}\textbf{+2466.7}}&\makebox[0.8cm]{\hfill 2682.63}~{\color{red!60}\textbf{+614.38}}&\makebox[0.7cm]{\hfill +13.73}~{\color{red!60}\textbf{+12.79}}&\makebox[0.7cm]{\hfill +52.12}~{\color{red!60}\textbf{+34.94}}&\makebox[0.65cm]{\hfill 47.45}~{\color{green!60}\textbf{-125.93}}&\makebox[0.65cm]{\hfill 28.16}~{\color{green!60}\textbf{-146.45}}\\
&hintandextended&\makebox[0.5cm]{\hfill 99}~{\color{green!60}\textbf{+87.1}}&\makebox[0.8cm]{\hfill 4459.94}~{\color{red!60}\textbf{+2417.39}}&\makebox[0.8cm]{\hfill 2498.02}~{\color{red!60}\textbf{+458.3}}&\makebox[0.7cm]{\hfill +12.2}~{\color{red!60}\textbf{+11.82}}&\makebox[0.7cm]{\hfill +41.65}~{\color{red!60}\textbf{+26.09}}&\makebox[0.65cm]{\hfill 45.05}~{\color{green!60}\textbf{-126.52}}&\makebox[0.65cm]{\hfill 25.23}~{\color{green!60}\textbf{-146.1}}\\
\bottomrule
\end{tabular}
\end{table*}

0
results/paper_datasize.sh → run_scalability_datasize.sh
View file

0
results/paper_scalability.sh → run_scalability_nnodes.sh
View file

14
results/paper.sh → run_strategies.sh
View file

@ -3,12 +3,12 @@
set -e
wai=$(dirname $(readlink -f "$0"))
scenarios="${wai}/../scenarios"
inputs="${wai}/../inputs.json"
simulator="make -C ${wai}/../ run"
sched="${wai}/scheduler/analysis.sh"
parser="${wai}/../parser.awk"
results="${wai}/results.csv"
scenarios="${wai}/scenarios"
inputs="${wai}/inputs.json"
simulator="make -C ${wai}/ run"
sched="${wai}/analysis/scheduler/analysis.sh"
parser="${wai}/parser.awk"
results="${wai}/strategy_sor.csv" # UPDATE HERE TO CHANGE OUTPUT CSV FILE NAME
aheaders="simkey,wireless,wakeupfor"
avalues="none,none,none"
log_file="${wai}/logs/$(date +%s).org" && mkdir -p "${wai}/logs/"
@ -133,4 +133,4 @@ do
ptx=0.65
latency=0
run-scenarios
done
done