From: Karine Deschinkel <kdeschin@grappa.iut-bm.univ-fcomte.fr>
Date: Fri, 4 Sep 2015 09:27:41 +0000 (+0200)
Subject: ok
X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/JournalMultiPeriods.git/commitdiff_plain/46e6f7cd7d85049c4f767edfe1091ef287cdc1e0

ok
---

diff --git a/article.tex b/article.tex
index 0894ca4..b37791f 100644
--- a/article.tex
+++ b/article.tex
@@ -805,7 +805,7 @@ Subject to
 \end{equation}
 
 \begin{equation}
-  \sum_{t=1}^{T}  X_{t,j}   \leq  \floor*{RE_{j}/E_{R}} \hspace{6 mm} \forall j \in J, t = 1,\dots,T
+  \sum_{t=1}^{T}  X_{t,j}   \leq  \floor*{RE_{j}/E_{R}} \hspace{10 mm}\forall j \in J\hspace{6 mm} 
   \label{eq144} 
 \end{equation}
 
@@ -853,6 +853,8 @@ to guarantee that the maximum number of points are covered during each round.
 %% MS W_theta is smaller than W_u => problem with the following sentence
 In our simulations priority is given  to the coverage by choosing $W_{U}$ very
 large compared to $W_{\theta}$.
+
+\textcolor{green}{The size of the problem depends on the number of variables and constraints. The number of variables is linked to the number of alive sensors $A \subset J$, the number of rounds $T$, and the number of primary points $P$. Thus the integer program contains $A*T$ variables of type $X_{t,j}$, $P*T$ overcoverage variables and $P*T$ undercoverage variables. The number of constraints is equal to $P*T$ (for constraints (\ref{eq16})) $+$ $A$ (for constraints (\ref{eq144})).}
 %The Active-Sleep packet includes the schedule vector with the number of rounds that should be applied by the receiving sensor node during the sensing phase.