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+++ b/2019-ICA3PP.org
@@ -1,4 +1,4 @@
-#+TITLE: Estimating the end-to-end energy consumption of IoT devices along with their impact on Cloud and telecommunication infrastructures
+#+TITLE: Estimating the end-to-end energy consumption of low-bandwidth IoT applications for WiFi devices
#+EXPORT_EXCLUDE_TAGS: noexport
#+STARTUP: hideblocks
@@ -10,11 +10,11 @@
#+LATEX_HEADER: \usepackage{graphicx}
#+LATEX_HEADER: \usepackage{xcolor}
#+LATEX_HEADER: \author{
-#+LATEX_HEADER: Loic Guegan\inst{1},
-#+LATEX_HEADER: Anne-Cécile Orgerie\inst{2},\\
+#+LATEX_HEADER: Loic Guegan and
+#+LATEX_HEADER: Anne-Cécile Orgerie\\
#+LATEX_HEADER: }
#+LATEX_HEADER: \institute{Univ Rennes, Inria, CNRS, IRISA, Rennes, France\\
-#+LATEX_HEADER: Emails: anne-cecile.orgerie@irisa.fr\inst{1}, loic.guegan@irisa.fr\inst{2}
+#+LATEX_HEADER: Emails: loic.guegan@irisa.fr, anne-cecile.orgerie@irisa.fr
#+LATEX_HEADER: }
@@ -44,14 +44,15 @@ we propose an end-to-end energy consumption model for these devices.
* Introduction
In 2018, Information and Communication Technology (ICT) was estimated
to absorb around 3% of the global energy consumption
-\cite{ShiftProject}. This consumption grows at a rate of 9% per year
-\cite{ShiftProject}. This alarming increase is explained by the fast
-emergence of numerous new applications and new ICT devices. These
-devices supply services for smart building, smart factories and smart
-cities for instance, allowing for optimized decisions. All these
-connected devices constitute the Internet of Things (IoT): connected
-devices with sensors producing data, actuators interacting with their
-environment and communication means.
+\cite{ShiftProject}. This consumption is estimated to grow at a rate
+of 9% per year \cite{ShiftProject}. This alarming growth is explained
+by the fast emergence of numerous new applications and new ICT
+devices. These devices supply services for smart building, smart
+factories and smart cities for instance, providing optimized decisions
+based on data produced by smart devices. All these connected devices
+constitute the Internet of Things (IoT): connected devices with
+sensors producing data, actuators interacting with their environment
+and communication means.
This increase in number of devices implies an increase in the energy
needed to manufacture and utilize all these devices. Yet, the overall energy
@@ -134,9 +135,46 @@ this work and presents future work.
* Related Work
#+LaTeX: \label{sec:sota}
-Smart industry \cite{Wang2016}
+** Energy consumption of IoT devices
+Smart apps and devices everywhere
+
+Smart industry \cite{Wang2016} : archi with sensing devices, cloud
+server, user applications and networks
+
+IoT archi : devices, gateways, fog and clouds \cite{Samie2016}
+
Smart cities \cite{Ejaz2017}
-* Use-Case
+
+Smart building \cite{Minoli2017}
+
+home automation, smart agriculture, eHealth, logistics, smart grids
+
+product life-cycle energy management \cite{Tao2016}
+
+
+focusing on access network technologies \cite{Gray2015},
+
+improving device transmission \cite{Andres2017}
+
+modeling the energy consumption of WSN devices \cite{Martinez2015} or
+the WiFi transmission \cite{ns3-energywifi}
+
+on organizing wireless sensor communications to increase the network
+lifetime \cite{Wang2016}
+
+CO2 impact of IoT and fog computing architectures vs Cloud
+\cite{Sarkar2018}
+
+
+Fog archi to use more renewable energy \cite{li_end--end_2018} or
+reduce communication costs \cite{jalali_fog_2016}
+
+** Energy consumption of network and cloud infrastructures
+net models
+server models + VM sharing
+
+
+* Characterization of low-bandwidth IoT applications
#+LaTeX: \label{sec:usec}
@@ -156,7 +194,7 @@ Smart cities \cite{Ejaz2017}
#+END_COMMENT
-
+
#+BEGIN_EXPORT latex
\begin{figure}
\centering
@@ -179,17 +217,17 @@ Smart cities \cite{Ejaz2017}
\end{figure}
#+END_EXPORT
-* System Model
+* Experimental setup
#+LaTeX: \label{sec:model}
- The system model is divided in two parts. First, the IoT and the Network part are models through
- simulations. Then, the Cloud part is model using real servers connected to watt-meters. In this way,
+ Our system model is divided in three parts. First, the IoT and the network parts are modeled through
+ simulations. Then, the Cloud part is modeled using real servers connected to wattmeters. In this way,
it is possible to evaluate the end-to-end energy consumption of the system.
** IoT Part
In the first place, the IoT part is composed of several sensors connected to an Access Point (AP)
- which forms a cell. This cell is model using the ns-3 network simulator. Consequently, we setup
- between 5 and 15 sensors connected to the AP using WIFI 5GHz 802.11n. The node are placed
- randomly in a rectangle of 400m2 around the AP which corresponds to a typical real use case. All
+ which form a cell. This cell is evaluated using the ns-3 network simulator. Consequently, we setup
+ between 5 and 15 sensors connected to the AP using WiFi 5GHz 802.11n. The node are placed
+ randomly in a rectangle of $400m^2$ around the AP which corresponds to a typical real use case. All
the cell nodes are setup with the default WIFI energy model provided by ns-3. The different
energy values used by the energy model are provided on Table \ref{tab:wifi-energy}. These energy
were extracted from previous work\cite{halperin_demystifying_nodate,li_end--end_2018} on