X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/ThesisAli.git/blobdiff_plain/64327623dafe024372782037641296e0f3d0d4e0..291b2f6b04186d20639b536c8e70f48d348ea251:/CHAPITRE_05.tex

diff --git a/CHAPITRE_05.tex b/CHAPITRE_05.tex
index 94188d8..3e5c309 100644
--- a/CHAPITRE_05.tex
+++ b/CHAPITRE_05.tex
@@ -146,7 +146,7 @@ We define the Overcoverage variable $\Theta_{t,p}$ as
     & \mbox{is not covered during round $t$,}\\
   \left( \sum_{j \in J} \alpha_{jp} * X_{tj} \right)- 1 & \mbox{otherwise.}\\
 \end{array} \right.
-\label{eq13} 
+\label{eq133} 
 \end{equation}
 More  precisely, $\Theta_{t,p}$  represents the  number of  active  sensor nodes
 minus  one  that  cover  the  primary  point $p$  during  round  $t$.   The
@@ -158,7 +158,7 @@ U_{t,p} = \left \{
   1 &\mbox{if the primary point $p$ is not covered during round $t$,} \\
   0 & \mbox{otherwise.}\\
 \end{array} \right.
-\label{eq14} 
+\label{eq1114} 
 \end{equation}
 
 Our coverage optimization problem can then be formulated as follows
@@ -291,7 +291,7 @@ indicate the energy consumed by the whole network in round $t$ of the sensing ph
 \end{frame}
 
 \subsection{Results Analysis and Comparison }
-\label{ch5:sec:04:02}
+\label{ch5:sec:04:03}
 
 
 \begin{enumerate}[i)]