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diff --git a/PeCO-EO/articleeo.aux b/PeCO-EO/articleeo.aux
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--- a/PeCO-EO/articleeo.aux
+++ b/PeCO-EO/articleeo.aux
@@ -70,19 +70,18 @@
 \newlabel{figure5}{{5}{14}}
 \newlabel{figure6}{{6}{14}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.3}\leavevmode {\color  {blue}Energy Saving Ratio (ESR)}}{14}}
 \newlabel{figure5}{{5}{14}}
 \newlabel{figure6}{{6}{14}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.3}\leavevmode {\color  {blue}Energy Saving Ratio (ESR)}}{14}}

+\@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.4}Energy Consumption}{14}}

 \citation{li2011transforming}
 \citation{li2011transforming}

-\citation{vu2009universal}
-\citation{wang2014keeping}
+\citation{1279193}

 \newlabel{fig5}{{7}{15}}
 \newlabel{fig5}{{7}{15}}

-\@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.4}Energy Consumption}{15}}

 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.5}Network Lifetime}{15}}
 \newlabel{figure7}{{8}{16}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.6}Impact of $\alpha $ and $\beta $ on PeCO's performance}{16}}
 \newlabel{sec:Impact}{{5.2.6}{16}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.5}Network Lifetime}{15}}
 \newlabel{figure7}{{8}{16}}
 \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.6}Impact of $\alpha $ and $\beta $ on PeCO's performance}{16}}
 \newlabel{sec:Impact}{{5.2.6}{16}}

+\@writefile{toc}{\contentsline {section}{\numberline {6}Conclusion and Future Works}{16}}
+\newlabel{sec:Conclusion and Future Works}{{6}{16}}

 \newlabel{figure8}{{9}{17}}
 \newlabel{figure9}{{10}{17}}
 \newlabel{figure8}{{9}{17}}
 \newlabel{figure9}{{10}{17}}

-\@writefile{toc}{\contentsline {section}{\numberline {6}Conclusion and Future Works}{17}}
-\newlabel{sec:Conclusion and Future Works}{{6}{17}}

 \bibstyle{gENO}
 \bibdata{biblio}
 \bibcite{akyildiz2002wireless}{{1}{2002}{{Akyildiz et~al.}}{{Akyildiz, Su, Sankarasubramaniam, and Cayirci}}}
 \bibstyle{gENO}
 \bibdata{biblio}
 \bibcite{akyildiz2002wireless}{{1}{2002}{{Akyildiz et~al.}}{{Akyildiz, Su, Sankarasubramaniam, and Cayirci}}}


@@ -90,11 +89,11 @@
 \bibcite{berman04}{{3}{2004}{{Berman and Calinescu}}{{}}}
 \bibcite{cardei2005improving}{{4}{2005}{{Cardei and Du}}{{}}}
 \bibcite{cardei2005energy}{{5}{2005}{{Cardei et~al.}}{{Cardei, Thai, Li, and Wu}}}
 \bibcite{berman04}{{3}{2004}{{Berman and Calinescu}}{{}}}
 \bibcite{cardei2005improving}{{4}{2005}{{Cardei and Du}}{{}}}
 \bibcite{cardei2005energy}{{5}{2005}{{Cardei et~al.}}{{Cardei, Thai, Li, and Wu}}}

-\newlabel{my-labelx}{{4}{18}}

 \bibcite{castano2013column}{{6}{2014}{{Casta{\~n}o et~al.}}{{Casta{\~n}o, Rossi, Sevaux, and Velasco}}}
 \bibcite{iamigo:cplex}{{7}{2010}{{CPLEX}}{{}}}
 \bibcite{Deng2012}{{8}{2012}{{Deng, Jiguo~Yu, and Chen}}{{}}}
 \bibcite{deschinkel2012column}{{9}{2012}{{Deschinkel}}{{}}}
 \bibcite{castano2013column}{{6}{2014}{{Casta{\~n}o et~al.}}{{Casta{\~n}o, Rossi, Sevaux, and Velasco}}}
 \bibcite{iamigo:cplex}{{7}{2010}{{CPLEX}}{{}}}
 \bibcite{Deng2012}{{8}{2012}{{Deng, Jiguo~Yu, and Chen}}{{}}}
 \bibcite{deschinkel2012column}{{9}{2012}{{Deschinkel}}{{}}}

+\newlabel{my-labelx}{{4}{18}}

 \bibcite{AMPL}{{10}{November 12, 2002}{{Fourer, Gay, and Kernighan}}{{}}}
 \bibcite{HeShibo}{{11}{2014}{{He et~al.}}{{He, Gong, Zhang, Chen, and Sun}}}
 \bibcite{huang2005coverage}{{12}{2005}{{Huang and Tseng}}{{}}}
 \bibcite{AMPL}{{10}{November 12, 2002}{{Fourer, Gay, and Kernighan}}{{}}}
 \bibcite{HeShibo}{{11}{2014}{{He et~al.}}{{He, Gong, Zhang, Chen, and Sun}}}
 \bibcite{huang2005coverage}{{12}{2005}{{Huang and Tseng}}{{}}}


@@ -103,20 +102,20 @@
 \bibcite{Idrees2}{{15}{2015}{{Idrees et~al.}}{{Idrees, Deschinkel, Salomon, and Couturier}}}
 \bibcite{jaggi2006}{{16}{2006}{{Jaggi and Abouzeid}}{{}}}
 \bibcite{kim2013maximum}{{17}{2013}{{Kim and Cobb}}{{}}}
 \bibcite{Idrees2}{{15}{2015}{{Idrees et~al.}}{{Idrees, Deschinkel, Salomon, and Couturier}}}
 \bibcite{jaggi2006}{{16}{2006}{{Jaggi and Abouzeid}}{{}}}
 \bibcite{kim2013maximum}{{17}{2013}{{Kim and Cobb}}{{}}}

-\bibcite{0031-9155-44-1-012}{{18}{1999}{{Lee et~al.}}{{Lee, Gallagher, Silvern, Wuu, and Zaider}}}
-\bibcite{li2013survey}{{19}{2013}{{Li and Vasilakos}}{{}}}
-\bibcite{li2011transforming}{{20}{2011}{{Li et~al.}}{{Li, Vu, Ai, Chen, and Zhao}}}
-\bibcite{ling2009energy}{{21}{2009}{{Ling and Znati}}{{}}}
-\bibcite{glpk}{{22}{2012}{{Makhorin}}{{}}}
-\bibcite{Misra}{{23}{2011}{{Misra, Kumar, and Obaidat}}{{}}}
-\bibcite{pc10}{{24}{2010}{{Padmavathy and Chitra}}{{}}}
-\bibcite{puccinelli2005wireless}{{25}{2005}{{Puccinelli and Haenggi}}{{}}}
-\bibcite{pujari2011high}{{26}{2011}{{Pujari}}{{}}}
-\bibcite{qu2013distributed}{{27}{2013}{{Qu and Georgakopoulos}}{{}}}
-\bibcite{rault2014energy}{{28}{2014}{{Rault, Bouabdallah, and Challal}}{{}}}
-\bibcite{doi:10.1080/0305215X.2012.687732}{{29}{2013}{{Singh, Rossi, and Sevaux}}{{}}}
-\bibcite{varga}{{30}{2003}{{Varga}}{{}}}
-\bibcite{vu2009universal}{{31}{2009}{{Vu et~al.}}{{Vu, Chen, Zhao, and Li}}}
+\bibcite{1279193}{{18}{2004}{{Kumagai}}{{}}}
+\bibcite{0031-9155-44-1-012}{{19}{1999}{{Lee et~al.}}{{Lee, Gallagher, Silvern, Wuu, and Zaider}}}
+\bibcite{li2013survey}{{20}{2013}{{Li and Vasilakos}}{{}}}
+\bibcite{li2011transforming}{{21}{2011}{{Li et~al.}}{{Li, Vu, Ai, Chen, and Zhao}}}
+\bibcite{ling2009energy}{{22}{2009}{{Ling and Znati}}{{}}}
+\bibcite{glpk}{{23}{2012}{{Makhorin}}{{}}}
+\bibcite{Misra}{{24}{2011}{{Misra, Kumar, and Obaidat}}{{}}}
+\bibcite{pc10}{{25}{2010}{{Padmavathy and Chitra}}{{}}}
+\bibcite{puccinelli2005wireless}{{26}{2005}{{Puccinelli and Haenggi}}{{}}}
+\bibcite{pujari2011high}{{27}{2011}{{Pujari}}{{}}}
+\bibcite{qu2013distributed}{{28}{2013}{{Qu and Georgakopoulos}}{{}}}
+\bibcite{rault2014energy}{{29}{2014}{{Rault, Bouabdallah, and Challal}}{{}}}
+\bibcite{doi:10.1080/0305215X.2012.687732}{{30}{2013}{{Singh, Rossi, and Sevaux}}{{}}}
+\bibcite{varga}{{31}{2003}{{Varga}}{{}}}

 \bibcite{ChinhVu}{{32}{2006}{{Vu et~al.}}{{Vu, Gao, Deshmukh, and Li}}}
 \bibcite{chin2007}{{33}{2009}{{Vu}}{{}}}
 \bibcite{wang2011coverage}{{34}{2011}{{Wang}}{{}}}
 \bibcite{ChinhVu}{{32}{2006}{{Vu et~al.}}{{Vu, Gao, Deshmukh, and Li}}}
 \bibcite{chin2007}{{33}{2009}{{Vu}}{{}}}
 \bibcite{wang2011coverage}{{34}{2011}{{Wang}}{{}}}

diff --git a/PeCO-EO/articleeo.bbl b/PeCO-EO/articleeo.bbl
index 412c38fe53237a84fdae6d5803bcb87e831dc017..2fcd549ddf86e9055d9324f3730f39fc9dd174fd 100644 (file)
--- a/PeCO-EO/articleeo.bbl
+++ b/PeCO-EO/articleeo.bbl
@@ -103,6 +103,10 @@ Kim, Hyunbum, and Jorge~A Cobb. 2013. ``Maximum lifetime of reinforced
   barrier-coverage in Wireless Sensor Networks.'' In \emph{19th IEEE
   International Conference on Networks (ICON), 2013,} 1--6.
 
   barrier-coverage in Wireless Sensor Networks.'' In \emph{19th IEEE
   International Conference on Networks (ICON), 2013,} 1--6.
 

+\bibitem[Kumagai(2004)]{1279193}
+Kumagai, J. 2004. ``Life of birds [wireless sensor network for bird study].''
+  \emph{Spectrum, IEEE} 41 (4): 42--49.
+

 \bibitem[Lee et~al.(1999)Lee, Gallagher, Silvern, Wuu, and
   Zaider]{0031-9155-44-1-012}
 Lee, Eva~K, Richard~J Gallagher, David Silvern, Cheng-Shie Wuu, and Marco
 \bibitem[Lee et~al.(1999)Lee, Gallagher, Silvern, Wuu, and
   Zaider]{0031-9155-44-1-012}
 Lee, Eva~K, Richard~J Gallagher, David Silvern, Cheng-Shie Wuu, and Marco


@@ -171,12 +175,6 @@ Singh, Alok, André Rossi, and Marc Sevaux. 2013. ``Metaheuristic approaches
 Varga, A. 2003. ``OMNeT++ Discrete Event Simulation System.'' \emph{Available:
   http://www.omnetpp.org} .
 
 Varga, A. 2003. ``OMNeT++ Discrete Event Simulation System.'' \emph{Available:
   http://www.omnetpp.org} .
 

-\bibitem[Vu et~al.(2009)Vu, Chen, Zhao, and Li]{vu2009universal}
-Vu, Chinh, Guantao Chen, Yi~Zhao, and Yingshu Li. 2009. ``A universal framework
-  for partial coverage in Wireless Sensor Networks.'' In \emph{Performance
-  Computing and Communications Conference (IPCCC), 2009 IEEE 28th
-  International,} 1--8. IEEE.
-

 \bibitem[Vu et~al.(2006)Vu, Gao, Deshmukh, and Li]{ChinhVu}
 Vu, Chinh, Shan Gao, Wiwek Deshmukh, and Yingshu Li. 2006. ``Distributed
   Energy-Efficient Scheduling Approach for K-Coverage in Wireless Sensor
 \bibitem[Vu et~al.(2006)Vu, Gao, Deshmukh, and Li]{ChinhVu}
 Vu, Chinh, Shan Gao, Wiwek Deshmukh, and Yingshu Li. 2006. ``Distributed
   Energy-Efficient Scheduling Approach for K-Coverage in Wireless Sensor

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diff --git a/PeCO-EO/articleeo.log b/PeCO-EO/articleeo.log
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+[]\OT1/cmr/m/n/10 CPLEX, Op-ti-mizer. 2010. ``IBM ILOG CPLEX Op-ti-mizer.'' \OT
+1/cmr/m/it/10 Avail-able: http://www-
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-[]\OT1/cmr/m/n/10 CPLEX, Op-ti-mizer. 2010. ``IBM ILOG CPLEX Op-ti-mizer.'' \OT
-1/cmr/m/it/10 Avail-able: http://www-
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 []\OT1/cmr/m/n/10 Makhorin, An-drew. 2012. ``The GLPK (GNU Lin-ear Pro-gram-min
 g Kit).'' \OT1/cmr/m/it/10 Avail-able:
  []
 []\OT1/cmr/m/n/10 Makhorin, An-drew. 2012. ``The GLPK (GNU Lin-ear Pro-gram-min
 g Kit).'' \OT1/cmr/m/it/10 Avail-able:
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 tem.'' \OT1/cmr/m/it/10 Avail-able:
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 []\OT1/cmr/m/n/10 Varga, A. 2003. ``OM-NeT++ Dis-crete Event Sim-u-la-tion Sys-
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diff --git a/PeCO-EO/articleeo.pdf b/PeCO-EO/articleeo.pdf
index 3af0e9dae6ea4a0a9c9ed4fc273602098d6d7228..9d39aa217ca11701cf10995618a15c6b2984adae 100644 (file)
Binary files a/PeCO-EO/articleeo.pdf and b/PeCO-EO/articleeo.pdf differ

diff --git a/PeCO-EO/articleeo.tex b/PeCO-EO/articleeo.tex
index 317f168834bde1e4ec5a54b8792e7a37b4c96d8c..5ba7f55932dd982a40e034a21050950216875f02 100644 (file)
--- a/PeCO-EO/articleeo.tex
+++ b/PeCO-EO/articleeo.tex
@@ -865,9 +865,7 @@ keeping a greater coverage ratio as shown in Figure \ref{figure5}.
   sensor nodes inside each  small fixed grid and thus permits to  extend the life of
   sensors in  each grid  fairly but  in the same  time turn  on large  number of
   sensors during sensing  that lead later to quickly  deplete sensor's batteries
   sensor nodes inside each  small fixed grid and thus permits to  extend the life of
   sensors in  each grid  fairly but  in the same  time turn  on large  number of
   sensors during sensing  that lead later to quickly  deplete sensor's batteries

-  together.
-
-  After that  GAF  provide  less energy  saving  compared with  other
+  together. After that  GAF  provide  less energy  saving  compared with  other

   approaches because of the large number of dead nodes. DESK algorithm shows less
   energy saving compared with other approaches  due to activate a large number of
   sensors during the  sensing. DiLCO protocol provides less  energy saving ratio
   approaches because of the large number of dead nodes. DESK algorithm shows less
   energy saving compared with other approaches  due to activate a large number of
   sensors during the  sensing. DiLCO protocol provides less  energy saving ratio


@@ -938,16 +936,17 @@ time, and the lifetime with a coverage over 50\% is far longer than with 95\%.
 \end{figure} 
 
 Figure~\ref{figure9} compares the lifetime coverage  of the DiLCO and PeCO protocols
 \end{figure} 
 
 Figure~\ref{figure9} compares the lifetime coverage  of the DiLCO and PeCO protocols

-for  different   coverage  ratios.   We  denote  by   Protocol/50,  Protocol/80,
+for  different   coverage  ratios.   We  denote  by   Protocol/70,  Protocol/80,

 Protocol/85, Protocol/90,  and Protocol/95 the  amount of time during  which the
 Protocol/85, Protocol/90,  and Protocol/95 the  amount of time during  which the

-network  can satisfy  an  area  coverage greater  than  $50\%$, $80\%$,  $85\%$,
+network  can satisfy  an  area  coverage greater  than  $70\%$, $80\%$,  $85\%$,

 $90\%$, and  $95\%$ respectively,  where the  term Protocol  refers to  DiLCO or
 PeCO.  \textcolor{blue}{Indeed there are applications that do not require a 100\% coverage of the
 area to be  monitored. For example, forest
 fire application might require complete coverage
 $90\%$, and  $95\%$ respectively,  where the  term Protocol  refers to  DiLCO or
 PeCO.  \textcolor{blue}{Indeed there are applications that do not require a 100\% coverage of the
 area to be  monitored. For example, forest
 fire application might require complete coverage

-in summer seasons while only requires 80$\%$ of the area to be covered in rainy seasons \cite{li2011transforming}. As another example, birds habit study requires only 70$\%$-coverage at nighttime when the birds are sleeping while requires 100$\%$-coverage at daytime when the birds are active \cite{vu2009universal}. Mudflows monitoring applications may require part of the area to be covered in sunny days. Thus, to extend network lifetime, the coverage quality can be decreased if it is acceptable\cite{wang2014keeping}}. PeCO might be  an interesting method since  it achieves a good balance  between a high level  coverage ratio  and network  lifetime. PeCO
-always  outperforms DiLCO  for the  three  lower coverage  ratios, moreover  the
-improvements grow  with the network  size. \textcolor{blue}{DiLCO outperforms PeCO when the coverage ratio is required to be $>90\%$, but PeCo extends the network lifetime significantly when coverage ratio can be relaxed.}
+in summer seasons while only require 80$\%$ of the area to be covered in rainy seasons~\citep{li2011transforming}. As another example, birds habit study requires only 70$\%$-coverage at nighttime when the birds are sleeping while requires 100$\%$-coverage at daytime when the birds are active~\citep{1279193}. 
+%Mudflows monitoring applications may require part of the area to be covered in sunny days. Thus, to extend network lifetime, the coverage quality can be decreased if it is acceptable~\citep{wang2014keeping}}. 
+ PeCO always  outperforms DiLCO  for the  three  lower coverage  ratios, moreover  the
+improvements grow  with the network  size. DiLCO outperforms PeCO when the coverage ratio is required to be $>90\%$, but PeCo extends the network lifetime significantly when coverage ratio can be relaxed.}

 %DiLCO  is better for  coverage ratios near 100\%, but  in that case PeCO  is not ineffective for  the smallest network sizes.
 
 \begin{figure}[h!]
 %DiLCO  is better for  coverage ratios near 100\%, but  in that case PeCO  is not ineffective for  the smallest network sizes.
 
 \begin{figure}[h!]

diff --git a/PeCO-EO/articleeo.tex~ b/PeCO-EO/articleeo.tex~
index ab832aedbe67d137e48e078c8e6a97ee23054613..5ba7f55932dd982a40e034a21050950216875f02 100644 (file)
--- a/PeCO-EO/articleeo.tex~
+++ b/PeCO-EO/articleeo.tex~
@@ -506,7 +506,8 @@ $RE_k$, which must be greater than  a threshold $E_{th}$ in order to participate
 in  the current  period.   Each  sensor node  determines  its  position and  its
 subregion using an  embedded GPS or a location discovery  algorithm. After that,
 all the sensors collect position  coordinates, remaining energy, sensor node ID,
 in  the current  period.   Each  sensor node  determines  its  position and  its
 subregion using an  embedded GPS or a location discovery  algorithm. After that,
 all the sensors collect position  coordinates, remaining energy, sensor node ID,

-and the number of their one-hop  live neighbors during the information exchange. \textcolor{blue}{We suppose that both INFO packet and ActiveSleep packet contain two parts: header and data payload. The sensor id is included in the header, where the header size is 8 bits. The data part includes position coordinates (64 bits), remaining energy (32 bits), and the number of their one-hop live neighbors (8 bits). Therefore the size of the INFO packet is 112 bits. The ActiveSleep packet is 16 bits size, 8 bits for the header and 8 bits for data part that includes only sensor status (0 or 1)}
+and the number of their one-hop  live neighbors during the information exchange.
+\textcolor{blue}{Both INFO packet and ActiveSleep packet contain two parts: header and data payload. The sensor ID is included in the header, where the header size is 8 bits. The data part includes position coordinates (64 bits), remaining energy (32 bits), and the number of one-hop live neighbors (8 bits). Therefore the size of the INFO packet is 112 bits. The ActiveSleep packet is 16 bits size, 8 bits for the header and 8 bits for data part that includes only sensor status (0 or 1).}

 The sensors  inside a same  region cooperate to  elect a leader.   The selection
 criteria for the leader are (in order  of priority):
 \begin{enumerate}
 The sensors  inside a same  region cooperate to  elect a leader.   The selection
 criteria for the leader are (in order  of priority):
 \begin{enumerate}


@@ -719,7 +720,7 @@ approach.
   of sensors in the network.
   
 \item {\bf \textcolor{blue}{Energy Saving Ratio (ESR)}}:  
   of sensors in the network.
   
 \item {\bf \textcolor{blue}{Energy Saving Ratio (ESR)}}:  

-\textcolor{blue}{we consider a performance metric linked to energy. This metric, called Energy Saving Ratio (ESR), is defined by:
+\textcolor{blue}{this metric, which shows the ability of a protocol to save energy, is defined by:

 \begin{equation*}
 \scriptsize
 \mbox{ESR}(\%) = \frac{\mbox{Number of alive sensors during this round}}
 \begin{equation*}
 \scriptsize
 \mbox{ESR}(\%) = \frac{\mbox{Number of alive sensors during this round}}


@@ -854,8 +855,24 @@ keeping a greater coverage ratio as shown in Figure \ref{figure5}.
 
 \subsubsection{\textcolor{blue}{Energy Saving Ratio (ESR)}} 
 
 
 \subsubsection{\textcolor{blue}{Energy Saving Ratio (ESR)}} 
 

-\textcolor{blue}{In this experiment, we consider an Energy Saving Ratio (see Figure~\ref{fig5}) for 200 deployed nodes. 
-The  longer the ratio  is,  the more  redundant sensor  nodes are switched off, and consequently  the longer the  network may  live. }
+%\textcolor{blue}{In this experiment, we study the energy saving ratio, see Figure~\ref{fig5}, for 200 deployed nodes. 
+%The larger the ratio  is,  the more  redundant sensor  nodes are switched off, and consequently  the longer the  network may  liv%e. }
+
+\textcolor{blue}{The simulation  results show that  our protocol PeCO  allows to
+  efficiently save energy by turning off  some sensors during the sensing phase.
+  As shown in Figure~\ref{fig5}, GAF provides better energy saving than PeCO for
+  the  first fifty  rounds, because  GAF  balances the  energy consumption  among
+  sensor nodes inside each  small fixed grid and thus permits to  extend the life of
+  sensors in  each grid  fairly but  in the same  time turn  on large  number of
+  sensors during sensing  that lead later to quickly  deplete sensor's batteries
+  together. After that  GAF  provide  less energy  saving  compared with  other
+  approaches because of the large number of dead nodes. DESK algorithm shows less
+  energy saving compared with other approaches  due to activate a large number of
+  sensors during the  sensing. DiLCO protocol provides less  energy saving ratio
+  compared with  PeCO because it generally  activate a larger number  of sensor
+  nodes during sensing.  Note that again as the number  of rounds increases PeCO
+  becomes the most  performing one, since it consumes less  energy compared with
+  other approaches.}

 
 \begin{figure}[h!]
 %\centering
 
 \begin{figure}[h!]
 %\centering


@@ -866,8 +883,6 @@ The  longer the ratio  is,  the more  redundant sensor  nodes are switched off,
 \label{fig5}
 \end{figure} 
 
 \label{fig5}
 \end{figure} 
 

-\textcolor{blue}{The simulation results show that our protocol PeCO allows to efficiently save energy by turning off some sensors during the sensing phase. 
-As shown in Figure~\ref{fig5}, GAF provides better energy saving than PeCO for the first fifty rounds, because GAF balance the energy consumption among sensor nodes inside each small fixed grid that permits to extend the life of sensors in each grid fairly but in the same time turn on large number of sensors during sensing that lead later to quickly deplete sensor's batteries togehter. After that GAF provide less energy saving compared with other approches because of the large number of dead nodes. DESK algorithm shows less energy saving compared with other approaches due to activate a larg number of sensors during the sensing. DiLCO protocol provides less energy saving ratio commpared with PeCO because it generally activate a larger number of sensor nodes during sensing. Note that again as the number of  rounds increases PeCO becomes  the most performing one, since it consumes less energy compared with other approaches.}

 
 
 \subsubsection{Energy Consumption}
 
 
 \subsubsection{Energy Consumption}


@@ -921,16 +936,17 @@ time, and the lifetime with a coverage over 50\% is far longer than with 95\%.
 \end{figure} 
 
 Figure~\ref{figure9} compares the lifetime coverage  of the DiLCO and PeCO protocols
 \end{figure} 
 
 Figure~\ref{figure9} compares the lifetime coverage  of the DiLCO and PeCO protocols

-for  different   coverage  ratios.   We  denote  by   Protocol/50,  Protocol/80,
+for  different   coverage  ratios.   We  denote  by   Protocol/70,  Protocol/80,

 Protocol/85, Protocol/90,  and Protocol/95 the  amount of time during  which the
 Protocol/85, Protocol/90,  and Protocol/95 the  amount of time during  which the

-network  can satisfy  an  area  coverage greater  than  $50\%$, $80\%$,  $85\%$,
+network  can satisfy  an  area  coverage greater  than  $70\%$, $80\%$,  $85\%$,

 $90\%$, and  $95\%$ respectively,  where the  term Protocol  refers to  DiLCO or
 PeCO.  \textcolor{blue}{Indeed there are applications that do not require a 100\% coverage of the
 area to be  monitored. For example, forest
 fire application might require complete coverage
 $90\%$, and  $95\%$ respectively,  where the  term Protocol  refers to  DiLCO or
 PeCO.  \textcolor{blue}{Indeed there are applications that do not require a 100\% coverage of the
 area to be  monitored. For example, forest
 fire application might require complete coverage

-in summer seasons while only requires 80$\%$ of the area to be covered in rainy seasons \cite{li2011transforming}. As another example, birds habit study requires only 70$\%$-coverage at nighttime when the birds are sleeping while requires 100$\%$-coverage at daytime when the birds are active \cite{vu2009universal}. Mudflows monitoring applications may require part of the area to be covered in sunny days. Thus, to extend network lifetime, the coverage quality can be decreased if it is acceptable\cite{wang2014keeping}}. PeCO might be  an interesting method since  it achieves a good balance  between a high level  coverage ratio  and network  lifetime. PeCO
-always  outperforms DiLCO  for the  three  lower coverage  ratios, moreover  the
-improvements grow  with the network  size. \textcolor{blue}{DiLCO outperforms PeCO when the coverage ratio is required to be $>90\%$, but PeCo extends the network lifetime significantly when coverage ratio can be relaxed.}
+in summer seasons while only require 80$\%$ of the area to be covered in rainy seasons~\citep{li2011transforming}. As another example, birds habit study requires only 70$\%$-coverage at nighttime when the birds are sleeping while requires 100$\%$-coverage at daytime when the birds are active~\citep{1279193}. 
+%Mudflows monitoring applications may require part of the area to be covered in sunny days. Thus, to extend network lifetime, the coverage quality can be decreased if it is acceptable~\citep{wang2014keeping}}. 
+ PeCO always  outperforms DiLCO  for the  three  lower coverage  ratios, moreover  the
+improvements grow  with the network  size. DiLCO outperforms PeCO when the coverage ratio is required to be $>90\%$, but PeCo extends the network lifetime significantly when coverage ratio can be relaxed.}

 %DiLCO  is better for  coverage ratios near 100\%, but  in that case PeCO  is not ineffective for  the smallest network sizes.
 
 \begin{figure}[h!]
 %DiLCO  is better for  coverage ratios near 100\%, but  in that case PeCO  is not ineffective for  the smallest network sizes.
 
 \begin{figure}[h!]


@@ -1013,6 +1029,6 @@ received support. This work is also partially funded by the Labex ACTION program
 (contract ANR-11-LABX-01-01).  
  
 \bibliographystyle{gENO}
 (contract ANR-11-LABX-01-01).  
  
 \bibliographystyle{gENO}

-\bibliography{biblio} % biblio
+\bibliography{biblio} %articleeo

 
 \end{document}
 
 \end{document}

diff --git a/PeCO-EO/biblio.bib b/PeCO-EO/biblio.bib
index 1ebdbe7aca169112e412a141a5acd9ad67e37ab4..7a8191e367df505e3f41bc2eba2d3a853b1233da 100644 (file)
--- a/PeCO-EO/biblio.bib
+++ b/PeCO-EO/biblio.bib
@@ -1082,3 +1082,14 @@ year = {2010}
   year={2014}
 }
 
   year={2014}
 }
 

+@ARTICLE{1279193,
+author={Kumagai, J.},
+journal={Spectrum, IEEE},
+title={Life of birds [wireless sensor network for bird study]},
+year={2004},
+volume={41},
+number={4},
+pages={42-49},
+month={April}
+}
+

diff --git a/PeCO-EO/reponse2.tex b/PeCO-EO/reponse2.tex
index 7141baea49ea04b26abda90a550f293a50bf2b1f..c695a984f922d91cb0acca0aa4134c0453eb2466 100644 (file)
--- a/PeCO-EO/reponse2.tex
+++ b/PeCO-EO/reponse2.tex
@@ -41,7 +41,7 @@ by Ali Kadhum Idrees, Karine Deschinkel, Michel Salomon and Raph\"ael Couturier
 Dear Editor and Reviewers,
 
 
 Dear Editor and Reviewers,
 
 

-Comments (here in red color) raised by the reviewer n°1  after a first revision have been carefully considered. Please find below our answers highlighted in green. We did our best to satisfy your requests.
+Comments (here in red color) raised by the reviewer n\textsuperscript{o}1  after a first revision have been carefully considered. Please find below our answers highlighted in green. We did our best to satisfy your requests.

 
 %Journal: Engineering Optimization
 %Reviewer's Comment to the Author Manuscript id GENO-2015-0094
 
 %Journal: Engineering Optimization
 %Reviewer's Comment to the Author Manuscript id GENO-2015-0094


@@ -55,7 +55,7 @@ Comments (here in red color) raised by the reviewer n°1  after a first revision
 
 
 
 
 
 

-\noindent  {\bf  3.}  The  communication and  information  sharing  required  to
+\noindent  {\textbf{3. \textsc{Reviewer's comment:} } } The  communication and  information  sharing  required  to

 cooperate and make these decisions was not discussed.\\
 
 \textcolor{blue}{\textbf{\textsc{Answer:}  The   communication  and  information
 cooperate and make these decisions was not discussed.\\
 
 \textcolor{blue}{\textbf{\textsc{Answer:}  The   communication  and  information


@@ -65,9 +65,9 @@ cooperate and make these decisions was not discussed.\\
 
 \textcolor{red}{\textbf{\textsc{Reviewer's response:} I see at the end of page 8 the description of the INFO packet. However, you are not including any description of the position coordinates, remaining energy, sensor node ID, etc. in the write up. I suggest adding this into the write up to make the communication clear.}}\\
 
 
 \textcolor{red}{\textbf{\textsc{Reviewer's response:} I see at the end of page 8 the description of the INFO packet. However, you are not including any description of the position coordinates, remaining energy, sensor node ID, etc. in the write up. I suggest adding this into the write up to make the communication clear.}}\\
 

-\textcolor{green}{\textbf{\textsc{Answer:}  Right, we have included more description about the INFO packet and the ActiveSleep packet into the write up at the end of section~3.}}\\
+\textcolor{green}{\textbf{\textsc{Answer:}  Right, we have included more description about the INFO packet and the ActiveSleep packet at the end of section~3.}}\\

 
 

-\noindent {\bf 7.} The methodology is implemented in OMNeT++ (network simulator)
+\noindent {\textbf{7. \textsc{Reviewer's comment:}}}  The methodology is implemented in OMNeT++ (network simulator)

 and tested  against 2 existing algorithms  and a previously developed  method by
 the authors.   The simulation results  are thorough  and show that  the proposed
 method improves the  coverage and network lifetime compared with  the 3 existing
 and tested  against 2 existing algorithms  and a previously developed  method by
 the authors.   The simulation results  are thorough  and show that  the proposed
 method improves the  coverage and network lifetime compared with  the 3 existing


@@ -86,13 +86,13 @@ about the way you formulated the problem. The mathematical optimization model is
 contribution but it's less convincing since the results are slightly better if not the same for the two
 methodologies you have developed. Could you include some other measure that shows that the
 PeCO is better? Maybe include computation time or something that is as convincing as the energy
 contribution but it's less convincing since the results are slightly better if not the same for the two
 methodologies you have developed. Could you include some other measure that shows that the
 PeCO is better? Maybe include computation time or something that is as convincing as the energy

-consumed per sensor.}}
+consumed per sensor.}}\\

 
 \textcolor{green}{\textbf{\textsc{Answer:}  In fact, we defined in section 5.1 a new performance metric linked to the energy, called Energy Saving Ratio (ESR). We added a new section (5.2.3) in the result part related to this performance metric which shows that our PeCO protocol provides better energy saving compared with other approaches.}}\\
 
 
 
 
 \textcolor{green}{\textbf{\textsc{Answer:}  In fact, we defined in section 5.1 a new performance metric linked to the energy, called Energy Saving Ratio (ESR). We added a new section (5.2.3) in the result part related to this performance metric which shows that our PeCO protocol provides better energy saving compared with other approaches.}}\\
 
 
 

-\noindent {\bf 8.}  Since this paper  is attacking the coverage problem, I would
+\noindent {8. \textbf{\textsc{Reviewer's comment:}}} Since this paper  is attacking the coverage problem, I would

 like  to  see more  information  on  the amount  of  coverage  the algorithm  is
 achieving. It seems that  there is a tradeoff in this  algorithm that allows the
 network to increase  its lifetime but does not improve  the coverage ratio. This
 like  to  see more  information  on  the amount  of  coverage  the algorithm  is
 achieving. It seems that  there is a tradeoff in this  algorithm that allows the
 network to increase  its lifetime but does not improve  the coverage ratio. This


@@ -112,10 +112,9 @@ sentence though, "DiLCO is better for coverage ratios near $100\%$, but in that
 you would want to have a coverage ratio of $50\%$? This seems like a very small ratio and as you
 increase it, DiLCO becomes the methodology that has the maximum network lifetime. If you don't
 include application examples, your statement "Indeed there are applications that do not require a
 you would want to have a coverage ratio of $50\%$? This seems like a very small ratio and as you
 increase it, DiLCO becomes the methodology that has the maximum network lifetime. If you don't
 include application examples, your statement "Indeed there are applications that do not require a

-100$\%$ coverage of the area to be monitored." stronger. }}
+100$\%$ coverage of the area to be monitored." stronger. }}\\

 
 

-\textcolor{green}{\textbf{\textsc{Answer:} Thank you so much to your suggestion for adjusting the sentence in the end of Section 5.2.5. (previously Section 5.2.4.), It is done. 
-For the applications, we added some applications examples in the end of the sentence "Indeed there are applications that do not require a 100$\%$ coverage of the area to be monitored." as well as we changed the figure 10 (previously figure 9) by adding DilCO/70 and PecO/70 instead of DilCO/50 and PeCO/50 }}\\
+\textcolor{green}{\textbf{\textsc{Answer:} Thank you so much for your suggestion, we modified the sentence at the end of Section 5.2.5. (previously Section 5.2.4.). As recommended, we added some applications examples. We also changed the figure 10 (previously figure 9) by replacing DilCO/50 and PecO/50 by DilCO/70 and PeCO/70.}}\\