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authorORGERIE Anne-Cecile <anne-cecile.orgerie@inria.fr>2019-10-18 21:53:35 +0200
committerORGERIE Anne-Cecile <anne-cecile.orgerie@inria.fr>2019-10-18 21:53:35 +0200
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@@ -260,6 +260,8 @@ application. While the derived model is more generic, we focus on a
given application to obtain a precise use-case with accurate power
consumption measurements.
+\subsection{IoT device side}
+
The Google Nest Thermostat relies on five sensors: temperature,
humidity, near-field activity, far-field activity and ambient
light~\cite{Nest}. Periodical measurements, sent through wireless
@@ -284,6 +286,8 @@ home. We consider low-bandwidth applications where devices produces
several network packets during each sensing period. The transmitting
frequency can vary from one to several packet sent per minute~\cite{Cisco2019}.
+
+\subsection{Cloud server side}
We consider that the link between the AP and the Cloud is composed of
several network switches and routers using Ethernet as shown in
Figure~\ref{fig:parts}. The number of routers on the path depends on the
@@ -303,6 +307,14 @@ same time.
\label{fig:parts}
\end{figure}
+The Cloud part of the application gathers the data sent by the IoT
+devices. These data are treated either on the fly (e.g. threshold
+detection) or periodically, and action commands are sent back to the
+device if required. For instance, if the user has set a targeted
+temperature, the connected thermostat sends the measured
+temperature regularly, and once the target is reached, the Cloud server detects
+it, and sends back to the IoT device the command to pause the heater.
+
In the following, we describe the experimental setup, the results and
the derived end-to-end model. For all these steps, we decompose the overall
IoT architecture into three parts: the IoT device part, the networking