From: Karine Deschinkel Date: Tue, 29 Sep 2015 10:08:47 +0000 (+0200) Subject: ok X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/LiCO.git/commitdiff_plain/8672f2758b38ef0ee17391e8ae39be587be825c3 ok --- diff --git a/PeCO-EO/articleeo.aux b/PeCO-EO/articleeo.aux index 0eebcbd..c2d59c1 100644 --- a/PeCO-EO/articleeo.aux +++ b/PeCO-EO/articleeo.aux @@ -69,7 +69,7 @@ \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.2}Active Sensors Ratio}{13}} \newlabel{figure5}{{5}{14}} \newlabel{figure6}{{6}{14}} -\@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.3}\leavevmode {\color {blue}Energy Saving Ratio}}{14}} +\@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.3}\leavevmode {\color {green}Energy Saving Ratio}}{14}} \@writefile{toc}{\contentsline {subsubsection}{\numberline {5.2.4}Energy Consumption}{14}} \newlabel{fig5}{{7}{15}} \newlabel{figure7}{{8}{15}} diff --git a/PeCO-EO/articleeo.log b/PeCO-EO/articleeo.log index ccd5718..7fad055 100644 --- a/PeCO-EO/articleeo.log +++ b/PeCO-EO/articleeo.log @@ -1,11 +1,12 @@ -This is pdfTeX, Version 3.14159265-2.6-1.40.15 (TeX Live 2015/dev/Debian) (preloaded format=pdflatex 2015.1.24) 29 SEP 2015 11:51 +This is pdfTeX, Version 3.1415926-2.4-1.40.13 (TeX Live 2012/Debian) (format=pdflatex 2013.9.3) 29 SEP 2015 11:58 entering extended mode restricted \write18 enabled. %&-line parsing enabled. **articleeo.tex (./articleeo.tex -LaTeX2e <2014/05/01> -Babel <3.9l> and hyphenation patterns for 61 languages loaded. +LaTeX2e <2011/06/27> +Babel and hyphenation patterns for english, dumylang, nohyphenation, lo +aded. 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PDF statistics: 222 PDF objects out of 1000 (max. 8388607) 151 compressed objects within 2 object streams diff --git a/PeCO-EO/articleeo.pdf b/PeCO-EO/articleeo.pdf index 753a2da..53d187b 100644 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 23f8cb3..b6becc3 100644 --- a/PeCO-EO/articleeo.tex +++ b/PeCO-EO/articleeo.tex @@ -507,7 +507,7 @@ 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}{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).} +\textcolor{green}{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} @@ -719,8 +719,8 @@ approach. sensing period~$p$, $R$ is the number of subregions, and $|J|$ is the number of sensors in the network. -\item {\bf \textcolor{blue}{Energy Saving Ratio (ESR)}}: -\textcolor{blue}{this metric, which shows the ability of a protocol to save energy, is defined by: +\item {\bf \textcolor{green}{Energy Saving Ratio (ESR)}}: +\textcolor{green}{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}} @@ -853,12 +853,10 @@ keeping a greater coverage ratio as shown in Figure \ref{figure5}. \label{figure6} \end{figure} -\subsubsection{\textcolor{blue}{Energy Saving Ratio}} +\subsubsection{\textcolor{green}{Energy Saving Ratio}} -%\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 saves +\textcolor{green}{The simulation results show that our protocol PeCO saves efficiently 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. Indeed GAF balances the energy consumption among @@ -934,14 +932,12 @@ 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 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 +PeCO. \textcolor{green}{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 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!] \centering \includegraphics[scale=0.55]{figure9.eps} @@ -966,7 +962,7 @@ $\beta=0.4$ seems to achieve the best compromise between lifetime and coverage ratio. That explains why we have chosen this setting for the experiments presented in the previous subsections. -%As can be seen in Table~\ref{my-labelx}, it is obvious and clear that when $\alpha$ decreased and $\beta$ increased by any step, the network lifetime for $Lifetime_{50}$ increased and the $Lifetime_{95}$ decreased. Therefore, selecting the values of $\alpha$ and $\beta$ depend on the application type used in the sensor nework. In PeCO protocol, $\alpha$ and $\beta$ are chosen based on the largest value of network lifetime for $Lifetime_{95}$. + \begin{table}[h] \centering diff --git a/PeCO-EO/articleeo.tex~ b/PeCO-EO/articleeo.tex~ index 5ba7f55..4faafaa 100644 --- a/PeCO-EO/articleeo.tex~ +++ b/PeCO-EO/articleeo.tex~ @@ -507,7 +507,7 @@ 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}{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).} +\textcolor{green}{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} @@ -719,8 +719,8 @@ approach. sensing period~$p$, $R$ is the number of subregions, and $|J|$ is the number of sensors in the network. -\item {\bf \textcolor{blue}{Energy Saving Ratio (ESR)}}: -\textcolor{blue}{this metric, which shows the ability of a protocol to save energy, is defined by: +\item {\bf \textcolor{green}{Energy Saving Ratio (ESR)}}: +\textcolor{green}{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}} @@ -853,26 +853,20 @@ keeping a greater coverage ratio as shown in Figure \ref{figure5}. \label{figure6} \end{figure} -\subsubsection{\textcolor{blue}{Energy Saving Ratio (ESR)}} - -%\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.} +\subsubsection{\textcolor{green}{Energy Saving Ratio}} + + +\textcolor{green}{The simulation results show that our protocol PeCO saves + efficiently 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. Indeed 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. However, at the same time it turns on a large + number of sensors and that leads later to quickly deplete sensor's batteries. + DESK algorithm shows less energy saving compared with other approaches. In + comparison with PeCO, DiLCO protocol usually provides lower energy saving + ratios. Moreover, it can be noticed that after round fifty, PeCO protocol + exhibits the slowest decrease among all the considered protocols.} \begin{figure}[h!] %\centering @@ -881,9 +875,7 @@ keeping a greater coverage ratio as shown in Figure \ref{figure5}. \includegraphics[scale=0.5]{ESR.eps} %\\~ ~ ~(a) \caption{Energy Saving Ratio for 200 deployed nodes} \label{fig5} -\end{figure} - - +\end{figure} \subsubsection{Energy Consumption} @@ -940,14 +932,12 @@ 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 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 +PeCO. \textcolor{green}{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 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. +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.} \begin{figure}[h!] \centering \includegraphics[scale=0.55]{figure9.eps} diff --git a/PeCO-EO/reponse2.tex b/PeCO-EO/reponse2.tex index c695a98..2c4b47d 100644 --- a/PeCO-EO/reponse2.tex +++ b/PeCO-EO/reponse2.tex @@ -28,20 +28,15 @@ \bigskip \begin{center} -Detailed changes and addressed issues in the revision of the article - -``Perimeter-based Coverage Optimization \\ -to Improve Lifetime in Wireless Sensor Networks''\\ +Revision of the manuscript ``Perimeter-based Coverage Optimization to Improve Lifetime in Wireless Sensor Networks''\\ by Ali Kadhum Idrees, Karine Deschinkel, Michel Salomon and Raph\"ael Couturier \medskip \end{center} -Dear Editor and Reviewers, - - -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. +Dear Editor and Reviewers,\\ +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 also highlighted the changes we made in the manuscript by using coloured text. We did our best to satisfy your requests. %Journal: Engineering Optimization %Reviewer's Comment to the Author Manuscript id GENO-2015-0094