X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/UIC2013.git/blobdiff_plain/6b1de891e2849975795b04843f3bfe3d5e44b667..c174b7277e5ba9b166983f25094db53a92de21f2:/bare_conf.tex diff --git a/bare_conf.tex b/bare_conf.tex index 0804bff..c0cef5a 100755 --- a/bare_conf.tex +++ b/bare_conf.tex @@ -71,7 +71,7 @@ Election, (iii)~Decision, and (iv)~Sensing. The decision process is carried out by a leader node which solves an integer program. Simulation results show that the proposed approach can prolong the network lifetime and improve the coverage performance. -\end{abstract} +\end{abstract*&^@!U&*T@} %\keywords{Area Coverage, Wireless Sensor Networks, lifetime Optimization, Distributed Protocol.} @@ -630,7 +630,7 @@ X_{j} \in \{0,1\}, &\forall j \in J The first group of constraints indicates that some primary point $p$ should be covered by at least one sensor and, if it is not always the case, overcoverage and undercoverage variables help balancing the -restriction equation by taking positive values. There are two main %%RAPH restriction equations???? +restriction equations by taking positive values. There are two main objectives. First we limit the overcoverage of primary points in order to activate a minimum number of sensors. Second we prevent the absence of monitoring on some parts of the subregion by minimizing the undercoverage. The @@ -860,7 +860,7 @@ communications have a small impact on the network lifetime. A sensor node has limited energy resources and computing power, therefore it is important that the proposed algorithm has the shortest possible execution time. The energy of a sensor node must be mainly -used for the sensing phase, not for the pre-sensing ones. %%RAPH: plusieurs phase de pre-sensing?? +used for the sensing phase, not for the pre-sensing ones. Table~\ref{table1} gives the average execution times in seconds on a laptop of the decision phase (solving of the optimization problem) during one round. They are given for the different approaches and