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simulated and real experiments
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@ -444,9 +444,17 @@ if they are known, or estimated from specific energy models.
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\label{sec:org8201f68}
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\label{sec:eval}
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In this section, we analyze the experimental results. All the experiments
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concerning IoT devices and network parts (Table~\ref{tab:sensorsSendIntervalEffects}
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and Figure~\ref{fig:sensorsNumber})
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are based on simulations using ns3,
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while all the experiments on Cloud servers (Figures~\ref{fig:vmSize}, \ref{fig:sensorsNumber-server}, \ref{fig:sensorsFrequency},
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and~\ref{fig:sensorsNumber-WPS})
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are real measurements performed on
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the Grid'5000 experimental platform.
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\subsection{IoT and Network Power Consumption}
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\label{sec:org1d05c1b}
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In this section, we analyze the experimental results.
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In a first place, we start by studying the impact of the sensors' transmission frequency on their
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energy consumption. To this end, we run several simulations in ns3 with 15 sensors using
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different transmission frequencies. The results provided by
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@ -506,7 +514,7 @@ Consequently, sensors energy consumption is dominant, as each sensor adds its ow
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\begin{figure}[htbp]
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\centering
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\includegraphics[width=0.65\linewidth]{./plots/numberSensors-WIFINET.png}
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\includegraphics[width=0.75\linewidth]{./plots/numberSensors-WIFINET.png}
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\caption{Analysis of the variation of the number of sensors on the IoT/Network part energy consumption for a transmission interval of 10s.}
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\label{fig:sensorsNumber}
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\end{figure}
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@ -596,7 +604,7 @@ occur. Therefore, it leads to an increase of the server energy consumption.
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\begin{minipage}[t]{0.65\textwidth}
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\centering
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\includegraphics[width=0.9\linewidth]{plots/sendInterval-cloud.png}
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\caption{Server energy consumption multiplied by the PUE (= 1.2) for 50 sensors sending requests at different transmission interval.}
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\caption{Server power consumption multiplied by the PUE (= 1.2) for 50 sensors sending requests at different transmission interval.}
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\label{fig:sensorsFrequency}
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\end{minipage}
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\hspace{0.5cm}
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@ -621,7 +629,9 @@ To have an overview of the energy consumed by the overall system, it is importan
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end-to-end energy consumption.
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We detail here the model used to attribute the energy
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consumption of our application for each part of the
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architecture. For a given IoT device, we have:
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architecture.
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For a given IoT device, we have:
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\begin{enumerate}
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\item For the IoT part, the entire consumption of the IoT device
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belongs to the system's accounted consumption.
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@ -635,12 +645,14 @@ server belongs to a data center and takes part in the overall
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energy drawn to cool the server room.
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\end{enumerate}
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Concerning the IoT part, we include the entire IoT device power
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consumption. Indeed, in our targeted low-bandwidth IoT application,
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the sensor is dedicated to this application. From Table~\ref{tab:params}, one can
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derive that the static power
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consumption of one IoT sensor is around 0.9 Watts. Its dynamic part
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depends on the transmission frequency. So the power consumption of an IoT device:
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\begin{footnotesize}
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\begin{align*}
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P^{IoTdevice} & = P_{static}^{IoT} + P_{dynamic}^{IoT}\\
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