the size of the subregion should be discussed and analyzed, but also the
clustering strategy.\\
-\textcolor{blue}{\textbf{\textsc{Answer:} }}\\
+\textcolor{blue}{\textbf{\textsc{Answer:} In the study, we assume that
+ the deployment of sensors is almost uniform over the region. So we only
+ need to fix a regular division of the region into subregions to make the
+ problem tractable. The subdivision is made such that the number of hops
+ between any pairs of sensors inside a subregion is less than or equal
+ to~3. In particular, we discuss the number of subregions in......}}\\
\noindent {\bf 2.} Page 8
minimized would probably make more sense.
\\
-\textcolor{blue}{\textbf{\textsc{Answer:} }}\\
+\textcolor{blue}{\textbf{\textsc{Answer:} As mentioned in the paper the integer program is based on the model proposed by () with some modifications. Their initial approach consisted in first finding the maximum coverage obtainable from available sensors to then use this information as input to the problem of minimizing the overcoverage. But this two-steps approach is time consuming. The originality of the model is to solve both objectives in a parallel fashion. Nevertheless the weights }}\\
centralized problems (even if exact approaches can't), and these approaches are
very popular in WSN. } \\
-\textcolor{blue}{\textbf{\textsc{Answer:} }}\\
+\textcolor{blue}{\textbf{\textsc{Answer:} Right, fixed }}\\
\noindent {\ding{90} Page 5
"The choice of number and locations of primary points is the subject of another
justified (in column generation based approaches, "rounds" to not have the same
duration). } \\
-\textcolor{blue}{\textbf{\textsc{Answer:} }}\\
+\textcolor{blue}{\textbf{\textsc{Answer:} All rounds have the same duration. It is explicitly explained
+ in paragraph ... in section .... This assumption leads to an integer formulation of the optimization problem. The decision variables are binary variables, $X_{t,j}$ for the activation ($X_{t,j}=1$) or not ($X_{t,j}=0$) of the sensor $j$ during the round $t$. Column generation based approaches can be applied when the decision variables of the optimization problem are continuous. In this case the variables are the time intervals during which the sensors of a cover set (not necessarily disjoint) are active. The time intervals are not equal. Concerning the choice of round duration of equal length, it is correlated
+ with the types of applications, with the amount of initial energy in sensors
+ batteries, and also with the duration of the exchange phase. All
+ applications do not have the same Quality of Service requirements. In our
+ case, information exchange is executed every hour, but the length of the
+ sensing period could be reduced and adapted dynamically. On the one hand, a
+ small sensing period would allow the network to be more reliable but would
+ have higher communication costs. On the other hand, the choice of a long
+ duration may cause problems in case of nodes failure during the sensing
+ period. }}\\
\noindent {\ding{90} Page 11 in Table 1
$W_\Theta$ should be replaced with $W_\theta$
