From b15795affb468ae97eeb4dfd90893ff79961f193 Mon Sep 17 00:00:00 2001 From: ali Date: Sun, 28 Jun 2015 14:43:06 +0200 Subject: [PATCH] Update by Ali --- CHAPITRE_04.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/CHAPITRE_04.tex b/CHAPITRE_04.tex index c359b8b..f0f1415 100644 --- a/CHAPITRE_04.tex +++ b/CHAPITRE_04.tex @@ -504,7 +504,7 @@ As shown in Figures~\ref{Figures/ch4/R1/EC}(a) and~\ref{Figures/ch4/R1/EC}(b), D \item {{\bf Execution Time}} %\subsubsection{Execution Time} -In this experiment, the execution time of the distributed optimization approach has been studied. Figure~\ref{Figures/ch4/R1/T} gives the average execution times in seconds for the decision phase (solving of the optimization problem) during one period. They are given for the different approaches and various numbers of sensors. The original execution time is computed as described in section \ref{ch4:sec:04:04}. \\ \\ \\ \\ +In this experiment, the execution time of the distributed optimization approach has been studied. Figure~\ref{Figures/ch4/R1/T} gives the average execution times in seconds for the decision phase (solving of the optimization problem) during one period. They are given for the different approaches and various numbers of sensors. \\ \\% \\ \\ \\ @@ -515,7 +515,7 @@ In this experiment, the execution time of the distributed optimization approach \label{Figures/ch4/R1/T} \end{figure} -We can see from Figure~\ref{Figures/ch4/R1/T} that DiLCO-32 has very low execution times in comparison with other DiLCO versions because it is distributed on larger number of small subregions. Conversely, DiLCO-2 requires to solve an optimization problem considering half the nodes in each subregion and thus presents high execution times. Overall, to be able to deal with very large networks, a distributed method is clearly required. +The original execution time is computed as described in section \ref{ch4:sec:04:04}. We can see from Figure~\ref{Figures/ch4/R1/T} that DiLCO-32 has very low execution times in comparison with other DiLCO versions because it is distributed on larger number of small subregions. Conversely, DiLCO-2 requires to solve an optimization problem considering half the nodes in each subregion and thus presents high execution times. Overall, to be able to deal with very large networks, a distributed method is clearly required. \item {{\bf Network Lifetime}} %\subsubsection{The Network Lifetime} -- 2.39.5