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ajout app charac
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@ -260,6 +260,8 @@ application. While the derived model is more generic, we focus on a
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given application to obtain a precise use-case with accurate power
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consumption measurements.
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\subsection{IoT device side}
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The Google Nest Thermostat relies on five sensors: temperature,
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humidity, near-field activity, far-field activity and ambient
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light~\cite{Nest}. Periodical measurements, sent through wireless
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@ -284,6 +286,8 @@ home. We consider low-bandwidth applications where devices produces
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several network packets during each sensing period. The transmitting
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frequency can vary from one to several packet sent per minute~\cite{Cisco2019}.
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\subsection{Cloud server side}
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We consider that the link between the AP and the Cloud is composed of
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several network switches and routers using Ethernet as shown in
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Figure~\ref{fig:parts}. The number of routers on the path depends on the
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@ -303,6 +307,14 @@ same time.
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\label{fig:parts}
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\end{figure}
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The Cloud part of the application gathers the data sent by the IoT
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devices. These data are treated either on the fly (e.g. threshold
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detection) or periodically, and action commands are sent back to the
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device if required. For instance, if the user has set a targeted
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temperature, the connected thermostat sends the measured
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temperature regularly, and once the target is reached, the Cloud server detects
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it, and sends back to the IoT device the command to pause the heater.
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In the following, we describe the experimental setup, the results and
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the derived end-to-end model. For all these steps, we decompose the overall
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IoT architecture into three parts: the IoT device part, the networking
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