From: Michel Salomon Date: Fri, 3 Oct 2014 14:17:00 +0000 (+0200) Subject: The end of Section 2 (Literature review) must be rewritten X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/Sensornets15.git/commitdiff_plain/c6211cbac5722fd0bc5afa0836434bc4c13b9b79 The end of Section 2 (Literature review) must be rewritten --- diff --git a/Example.tex b/Example.tex index a5b366a..b461e0d 100644 --- a/Example.tex +++ b/Example.tex @@ -27,7 +27,7 @@ \title{Distributed Lifetime Coverage Optimization Protocol \\in Wireless Sensor Networks} \author{\authorname{Ali Kadhum Idrees, Karine Deschinkel, Michel Salomon, and Rapha\"el Couturier} -\affiliation{FEMTO-ST Institute, UMR 6174 CNRS, University of Franche-Comte, Belfort, France} +\affiliation{FEMTO-ST Institute, UMR 6174 CNRS, University of Franche-Comt\'e, Belfort, France} %\affiliation{\sup{2}Department of Computing, Main University, MySecondTown, MyCountry} \email{ali.idness@edu.univ-fcomte.fr, $\lbrace$karine.deschinkel, michel.salomon, raphael.couturier$\rbrace$@univ-fcomte.fr} %\email{\{f\_author, s\_author\}@ips.xyz.edu, t\_author@dc.mu.edu} @@ -162,6 +162,11 @@ constraints. Column generation techniques, well-known and widely practiced techniques for solving linear programs with too many variables, have been also used~\cite{castano2013column,rossi2012exact,deschinkel2012column}. +% ***** Part which must be rewritten - Start + +% Start of Ali's papers catalog => there's no link between them or with our work +% (use of subregions; optimization based method; etc.) + Diongue and Thiare~\cite{diongue2013alarm} proposed an energy aware sleep scheduling algorithm for lifetime maximization in wireless sensor networks (ALARM). The proposed approach permits to schedule redundant nodes according to @@ -192,6 +197,8 @@ algorithm in order to produce the set of active nodes which take the mission of sensing during the current epoch. After that, the produced schedule is sent to the sensor nodes in the network. +% What is the link between the previous work and this paragraph about DiLCO ? + {\it In DiLCO protocol, the area coverage is divided into several smaller subregions, and in each of which, a node called the leader is on charge for selecting the active sensors for the current period.} @@ -208,12 +215,15 @@ The work proposed by \cite{qu2013distributed} considers the coverage problem in WSNs where each sensor has variable sensing radius. The final objective is to maximize the network coverage lifetime in WSNs. +% Same remark, no link with the two previous citations... {\it In DiLCO protocol, each leader, in each subregion, solves an integer program with a double objective consisting in minimizing the overcoverage and limiting the undercoverage. This program is inspired from the work of \cite{pedraza2006} where the objective is to maximize the number of cover sets.} +% ***** Part which must be rewritten - End + \iffalse Some algorithms have been developed in ~\cite{yang2014energy,ChinhVu,vashistha2007energy,deschinkel2012column,shi2009,qu2013distributed,ling2009energy,xin2009area,cheng2014achieving,ling2009energy} to solve the area coverage problem so as to preserve coverage and prolong the network lifetime. @@ -1023,12 +1033,12 @@ the performance of our approach, we compared it with two other approaches using many performance metrics like coverage ratio or network lifetime. We have also study the impact of the number of subregions chosen to subdivide the area of interest, considering different network sizes. The experiments show that -increasing the number of subregions allows to improves the lifetime. The more -there are subregions, the more the network is robust against random -disconnection resulting from dead nodes. However, for a given sensing field and -network size there is an optimal number of subregions. Therefore, in case of -our simulation context a subdivision in $16$~subregions seems to be the most -relevant. The optimal number of subregions will be investigated in the future. +increasing the number of subregions improves the lifetime. The more there are +subregions, the more the network is robust against random disconnection +resulting from dead nodes. However, for a given sensing field and network size +there is an optimal number of subregions. Therefore, in case of our simulation +context a subdivision in $16$~subregions seems to be the most relevant. The +optimal number of subregions will be investigated in the future. \iffalse \noindent In this paper, we have addressed the problem of the coverage and the lifetime