ok

diff --git a/Example.aux b/Example.aux
index 4af5b0e8eca2e60d1e606838752661197c281b27..5cc252bb56b4475c08a1300d3b147fea60f22cec 100644 (file)
--- a/Example.aux
+++ b/Example.aux
@@ -43,13 +43,13 @@
 \@writefile{toc}{\contentsline {section}{\numberline {3}\uppercase {Description of the DiLCO protocol}}{3}}
 \newlabel{sec:The DiLCO Protocol Description}{{3}{3}}
 \@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Assumptions and models}{3}}
 \@writefile{toc}{\contentsline {section}{\numberline {3}\uppercase {Description of the DiLCO protocol}}{3}}
 \newlabel{sec:The DiLCO Protocol Description}{{3}{3}}
 \@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Assumptions and models}{3}}

-\citation{pedraza2006}
-\citation{idrees2014coverage}

 \@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Main idea}{4}}
 \newlabel{main_idea}{{3.2}{4}}
 \@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces DiLCO protocol\relax }}{4}}
 \providecommand*\caption@xref[2]{\@setref\relax\@undefined{#1}}
 \newlabel{fig2}{{1}{4}}
 \@writefile{toc}{\contentsline {subsection}{\numberline {3.2}Main idea}{4}}
 \newlabel{main_idea}{{3.2}{4}}
 \@writefile{lof}{\contentsline {figure}{\numberline {1}{\ignorespaces DiLCO protocol\relax }}{4}}
 \providecommand*\caption@xref[2]{\@setref\relax\@undefined{#1}}
 \newlabel{fig2}{{1}{4}}

+\citation{pedraza2006}
+\citation{idrees2014coverage}

 \@writefile{loa}{\contentsline {algocf}{\numberline {1}{\ignorespaces DiLCO($s_j$)\relax }}{5}}
 \newlabel{alg:DiLCO}{{1}{5}}
 \@writefile{toc}{\contentsline {section}{\numberline {4}\uppercase {Coverage problem formulation}}{5}}
 \@writefile{loa}{\contentsline {algocf}{\numberline {1}{\ignorespaces DiLCO($s_j$)\relax }}{5}}
 \newlabel{alg:DiLCO}{{1}{5}}
 \@writefile{toc}{\contentsline {section}{\numberline {4}\uppercase {Coverage problem formulation}}{5}}


@@ -69,12 +69,12 @@
 \newlabel{table3}{{1}{6}}
 \@writefile{lot}{\contentsline {table}{\numberline {2}{\ignorespaces Energy consumption model\relax }}{7}}
 \newlabel{table4}{{2}{7}}
 \newlabel{table3}{{1}{6}}
 \@writefile{lot}{\contentsline {table}{\numberline {2}{\ignorespaces Energy consumption model\relax }}{7}}
 \newlabel{table4}{{2}{7}}

-\@writefile{toc}{\contentsline {subsection}{\numberline {5.2}Performance analysis}{7}}
-\newlabel{sub1}{{5.2}{7}}

 \citation{ChinhVu}
 \citation{xu2001geography}
 \@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Coverage ratio\relax }}{8}}
 \newlabel{fig3}{{2}{8}}
 \citation{ChinhVu}
 \citation{xu2001geography}
 \@writefile{lof}{\contentsline {figure}{\numberline {2}{\ignorespaces Coverage ratio\relax }}{8}}
 \newlabel{fig3}{{2}{8}}

+\@writefile{toc}{\contentsline {subsection}{\numberline {5.2}Performance analysis}{8}}
+\newlabel{sub1}{{5.2}{8}}

 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.1}Coverage ratio}{8}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.2}Energy consumption}{8}}
 \@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Energy consumption per period\relax }}{9}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.1}Coverage ratio}{8}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.2}Energy consumption}{8}}
 \@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Energy consumption per period\relax }}{9}}


@@ -89,37 +89,34 @@
 \newlabel{sec:Conclusion and Future Works}{{6}{10}}
 \bibstyle{plain}
 \bibdata{Example}
 \newlabel{sec:Conclusion and Future Works}{{6}{10}}
 \bibstyle{plain}
 \bibdata{Example}

-\bibcite{ref17}{1}
-\bibcite{ref19}{2}
-\bibcite{berman04}{3}
-\bibcite{cardei2005improving}{4}
-\bibcite{cardei2005energy}{5}
-\bibcite{castano2013column}{6}
-\bibcite{conti2014mobile}{7}
-\bibcite{Deng2012}{8}
-\bibcite{deschinkel2012column}{9}
-\bibcite{idrees2014coverage}{10}
-\bibcite{jaggi2006}{11}
-\bibcite{kim2013maximum}{12}
-\bibcite{Kumar:2005}{13}
-\bibcite{li2013survey}{14}
-\bibcite{ling2009energy}{15}
-\bibcite{pujari2011high}{16}
-\bibcite{Misra}{17}
-\bibcite{Nayak04}{18}
-\bibcite{pc10}{19}
-\bibcite{pedraza2006}{20}
-\bibcite{qu2013distributed}{21}
-\bibcite{raghunathan2002energy}{22}
-\bibcite{ref22}{23}
-\bibcite{rossi2012exact}{24}
-\bibcite{varga}{25}
-\bibcite{chin2007}{26}
-\bibcite{ChinhVu}{27}
-\bibcite{5714480}{28}
-\bibcite{xu2001geography}{29}
-\bibcite{yang2014novel}{30}
-\bibcite{yangnovel}{31}
-\bibcite{Yang2014}{32}
-\bibcite{Zhang05}{33}
-\bibcite{zorbas2010solving}{34}
+\bibcite{berman04}{Berman and Calinescu, 2004}
+\bibcite{cardei2005improving}{Cardei and Du, 2005}
+\bibcite{cardei2005energy}{Cardei et\nobreakspace  {}al., 2005}
+\bibcite{castano2013column}{Casta{\~n}o et\nobreakspace  {}al., 2013}
+\bibcite{conti2014mobile}{Conti and Giordano, 2014}
+\bibcite{Deng2012}{Deng et\nobreakspace  {}al., 2012}
+\bibcite{deschinkel2012column}{Deschinkel, 2012}
+\bibcite{idrees2014coverage}{Idrees et\nobreakspace  {}al., 2014}
+\bibcite{jaggi2006}{Jaggi and Abouzeid, 2006}
+\bibcite{kim2013maximum}{Kim and Cobb, 2013}
+\bibcite{Kumar:2005}{Kumar et\nobreakspace  {}al., 2005}
+\bibcite{li2013survey}{Li and Vasilakos, 2013}
+\bibcite{ling2009energy}{Ling and Znati, 2009}
+\bibcite{pujari2011high}{Manju and Pujari, 2011}
+\bibcite{Misra}{Misra et\nobreakspace  {}al., 2011}
+\bibcite{Nayak04}{Nayak and Stojmenovic, 2010}
+\bibcite{pc10}{Padmavathy and Chitra, 2010}
+\bibcite{pedraza2006}{Pedraza et\nobreakspace  {}al., 2006}
+\bibcite{qu2013distributed}{Qu and Georgakopoulos, 2013}
+\bibcite{raghunathan2002energy}{Raghunathan et\nobreakspace  {}al., 2002}
+\bibcite{rossi2012exact}{Rossi et\nobreakspace  {}al., 2012}
+\bibcite{varga}{Varga, 2003}
+\bibcite{ChinhVu}{Vu et\nobreakspace  {}al., 2006}
+\bibcite{chin2007}{Vu, 2009}
+\bibcite{5714480}{Xing et\nobreakspace  {}al., 2010}
+\bibcite{xu2001geography}{Xu et\nobreakspace  {}al., 2001}
+\bibcite{yang2014novel}{Yang and Chin, 2014a}
+\bibcite{yangnovel}{Yang and Chin, 2014b}
+\bibcite{Yang2014}{Yang and Liu, 2014}
+\bibcite{Zhang05}{Zhang and Hou, 2005}
+\bibcite{zorbas2010solving}{Zorbas et\nobreakspace  {}al., 2010}

diff --git a/Example.tex b/Example.tex
index cef7ad19651e2c29f103418593f019f6d227f03a..c30cff51112364dea3d5a5c685cef7ee903e0bec 100644 (file)
--- a/Example.tex
+++ b/Example.tex
@@ -91,7 +91,7 @@ means  of recharging  or replacing,  usually  due to  environmental (hostile  or
 unpractical environments)  or cost reasons.   Therefore, it is desired  that the
 WSNs are deployed  with high densities so as to  exploit the overlapping sensing
 regions of some sensor  nodes to save energy by turning off  some of them during
 unpractical environments)  or cost reasons.   Therefore, it is desired  that the
 WSNs are deployed  with high densities so as to  exploit the overlapping sensing
 regions of some sensor  nodes to save energy by turning off  some of them during

-the sensing phase to prolong the network lifetime. \textcolor{blue}{A WSN can use various types of sensors such as \cite{ref17,ref19}: thermal, seismic, magnetic, visual, infrared, acoustic, and radar. These sensors are capable of observing  different physical conditions such as: temperature, humidity, pressure, speed, direction, movement, light, soil makeup, noise levels, presence or absence of certain kinds of objects, and mechanical stress levels on attached objects. Consequently, a wide range of WSN applications such as~\cite{ref22}: health-care, environment, agriculture, public safety, military, transportation systems, and industry applications.}
+the sensing phase to prolong the network lifetime. \textcolor{blue}{A WSN can use various types of sensors such as \cite{ref17,ref19}: thermal, seismic, magnetic, visual, infrared, acoustic, and radar. These sensors are capable of observing  different physical conditions such as: temperature, humidity, pressure, speed, direction, movement, light, soil makeup, noise levels, presence or absence of certain kinds of objects, and mechanical stress levels on attached objects. Consequently, there is a wide range of WSN applications such as~\cite{ref22}: health-care, environment, agriculture, public safety, military, transportation systems, and industry applications.}

 
 In this  paper we design  a protocol that  focuses on the area  coverage problem
 with  the objective  of maximizing  the network  lifetime. Our  proposition, the
 
 In this  paper we design  a protocol that  focuses on the area  coverage problem
 with  the objective  of maximizing  the network  lifetime. Our  proposition, the


@@ -116,8 +116,7 @@ framework of the  DiLCO approach and the coverage problem  formulation.  In this
 paper  we   made  more  realistic   simulations  by  taking  into   account  the
 characteristics of  a Medusa II sensor  ~\cite{raghunathan2002energy} to measure
 the energy consumption and the computation  time.  We have implemented two other
 paper  we   made  more  realistic   simulations  by  taking  into   account  the
 characteristics of  a Medusa II sensor  ~\cite{raghunathan2002energy} to measure
 the energy consumption and the computation  time.  We have implemented two other

-existing approaches (a distributed one,  DESK ~\cite{ChinhVu}, and a centralized
-one called GAF  ~\cite{xu2001geography}) in order to  compare their performances
+existing \textcolor{blue}{and distributed approaches}(DESK ~\cite{ChinhVu}, and GAF  ~\cite{xu2001geography}) in order to  compare their performances

 with our approach.  We also focus on performance analysis based on the number of
 subregions. 
 % MODIF - END
 with our approach.  We also focus on performance analysis based on the number of
 subregions. 
 % MODIF - END


@@ -244,7 +243,8 @@ less accurate according to the number of primary points.
 \label{main_idea}
 \noindent We start  by applying a divide-and-conquer algorithm  to partition the
 area of interest  into smaller areas called subregions and  then our protocol is
 \label{main_idea}
 \noindent We start  by applying a divide-and-conquer algorithm  to partition the
 area of interest  into smaller areas called subregions and  then our protocol is

-executed   simultaneously  in   each   subregion.
+executed   simultaneously  in   each   subregion. \textcolor{blue}{Sensor nodes  are assumed to
+be deployed  almost uniformly over the  region and the subdivision of the area of interest is regular.}

 
 \begin{figure}[ht!]
 \centering
 
 \begin{figure}[ht!]
 \centering


@@ -257,7 +257,9 @@ As  shown  in Figure~\ref{fig2},  the  proposed  DiLCO  protocol is  a  periodic
 protocol where  each period is  decomposed into 4~phases:  Information Exchange,
 Leader Election,  Decision, and Sensing. For  each period there  will be exactly
 one  cover  set  in charge  of  the  sensing  task.   A periodic  scheduling  is
 protocol where  each period is  decomposed into 4~phases:  Information Exchange,
 Leader Election,  Decision, and Sensing. For  each period there  will be exactly
 one  cover  set  in charge  of  the  sensing  task.   A periodic  scheduling  is

-interesting  because it  enhances the  robustness  of the  network against  node failures. \textcolor{blue}{Many WSN applications have communication requirements that are periodic and known previously such as collecting temperature statistics at regular intervals. This periodic nature can be used to provide a regular schedule to sensor nodes and thus avoid a sensor failure. If the period time increases, the reliability and energy consumption are decreased and vice versa}. First,  a node  that has not  enough energy  to complete a  period, or
+interesting  because it  enhances the  robustness  of the  network against  node failures.
+% \textcolor{blue}{Many WSN applications have communication requirements that are periodic and known previously such as collecting temperature statistics at regular intervals. This periodic nature can be used to provide a regular schedule to sensor nodes and thus avoid a sensor failure. If the period time increases, the reliability and energy consumption are decreased and vice versa}. 
+First,  a node  that has not  enough energy  to complete a  period, or

 which fails before  the decision is taken, will be  excluded from the scheduling
 process. Second,  if a node  fails later, whereas  it was supposed to  sense the
 region of  interest, it will only affect  the quality of the  coverage until the
 which fails before  the decision is taken, will be  excluded from the scheduling
 process. Second,  if a node  fails later, whereas  it was supposed to  sense the
 region of  interest, it will only affect  the quality of the  coverage until the

diff --git a/reponse.tex b/reponse.tex
index 4b131be7f581834ab820d0c06c86064545b9786f..6a2dea7433e4569f99f5da54104b76aa32e3d616 100644 (file)
--- a/reponse.tex
+++ b/reponse.tex
@@ -77,6 +77,7 @@ The paper present a new system to optimize sensord detections. The work present
 
 
 \textcolor{blue}{\textbf{\textsc{Answer:} Right.  We  have  included a  paragraph on the examples and practical applications of WSNs in section~1. }}
 
 
 \textcolor{blue}{\textbf{\textsc{Answer:} Right.  We  have  included a  paragraph on the examples and practical applications of WSNs in section~1. }}

+\textcolor{red}Je pense que la question porte sur un exemple d'application de notre protocole?}

 
 
 \section*{Response to Reviewer $\#$3 Comments}
 
 
 \section*{Response to Reviewer $\#$3 Comments}