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authorLoic Guegan <manzerbredes@mailbox.org>2019-07-15 13:59:22 +0200
committerLoic Guegan <manzerbredes@mailbox.org>2019-07-15 13:59:22 +0200
commita85b94b56f250fe612c4886a482acb4fae5d9285 (patch)
treef4e6dac1286d0e9fef55742c95ad2ac2dbb0625e
parent3844ad1d719053de7c33d4fc73dffb5d09cccfc3 (diff)
parent45c5763b827417f8720599b8a441f1a722e6c988 (diff)
Merge branch 'master' of gitlab.inria.fr:lguegan/paper-lowrate-iot
-rw-r--r--2019-ICA3PP.org80
-rw-r--r--2019-ICA3PP.pdfbin579316 -> 572779 bytes
-rw-r--r--references.bib21
3 files changed, 68 insertions, 33 deletions
diff --git a/2019-ICA3PP.org b/2019-ICA3PP.org
index 59f10a3..7f7b68a 100644
--- a/2019-ICA3PP.org
+++ 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
diff --git a/2019-ICA3PP.pdf b/2019-ICA3PP.pdf
index 8e8a3cd..59e59ca 100644
--- a/2019-ICA3PP.pdf
+++ b/2019-ICA3PP.pdf
Binary files differ
diff --git a/references.bib b/references.bib
index 4935d4a..58de2d3 100644
--- a/references.bib
+++ b/references.bib
@@ -2432,23 +2432,13 @@ pages={2818-2823},
}
-@inproceedings{Samie:2016:ITE:2968456.2974004,
+@inproceedings{Samie2016,
author = {Samie, Farzad and Bauer, Lars and Henkel, J\"{o}rg},
title = {IoT Technologies for Embedded Computing: A Survey},
booktitle = {IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES)},
year = {2016},
}
-@ARTICLE{7785890,
-author={K. {Wang} and Y. {Wang} and Y. {Sun} and S. {Guo} and J. {Wu}},
-journal={IEEE Communications Magazine},
-title={{Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective}},
-year={2016},
-volume={54},
-number={12},
-pages={48-54},
-}
-
@ARTICLE{Sarkar2018,
author={S. {Sarkar} and S. {Chatterjee} and S. {Misra}},
@@ -2484,4 +2474,11 @@ month = Oct,
howpublished = {https://theshiftproject.org/article/pour-une-sobriete-numerique-rapport-shift/}
}
-
+@article{Tao2016,
+title = {{Internet of Things in product life-cycle energy management}},
+journal = "Journal of Industrial Information Integration",
+volume = "1",
+pages = "26 - 39",
+year = "2016",
+author = "Fei Tao and Yiwen Wang and Ying Zuo and Haidong Yang and Meng Zhang",
+}