X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/Sensornets15.git/blobdiff_plain/189bab8b6edfb58777eb8e606ef191cc6e431676..8289f9fca3236b8d7083fd54b8e33d8dcd1220a2:/Example.tex

diff --git a/Example.tex b/Example.tex
index 702d24b..ac05f6c 100644
--- a/Example.tex
+++ b/Example.tex
@@ -124,14 +124,14 @@ and  barrier coverage \cite{Kumar:2005}\cite{kim2013maximum} to  prevent intrude
 
 The major  approach to extend network  lifetime while preserving  coverage is to
 divide/organize the  sensors into a suitable  number of set  covers (disjoint or
-non-disjoint)  where each  set completely  covers a  region of  interest  and to
+non-disjoint),  where each  set completely  covers a  region of  interest,  and to
 activate these set  covers successively. The network activity  can be planned in
 advance and scheduled  for the entire network lifetime  or organized in periods,
 and the set of  active sensor nodes is decided at the  beginning of each period \cite{ling2009energy}.
 Active node selection is determined based on the problem requirements (e.g. area
 monitoring,  connectivity,  power   efficiency). For instance, Jaggi et al. \cite{jaggi2006}
-adress the problem of maximizing network lifetime by dividing sensors into the maximum number of disjoint subsets such that each subset can ensure both coverage and connectivity. A greedy algorithm is applied once to solve this problem and the computed sets are activated in succession to achieve the desired network lifetime. 
-Vu \cite{chin2007}, Padmatvathy et al \cite{pc10}, propose algorithms working in a periodic fashion where a cover set is computed at the beginning of each period.
+address the problem of maximizing network lifetime by dividing sensors into the maximum number of disjoint subsets such that each subset can ensure both coverage and connectivity. A greedy algorithm is applied once to solve this problem and the computed sets are activated in succession to achieve the desired network lifetime. 
+Vu \cite{chin2007}, Padmatvathy et al. \cite{pc10}, propose algorithms working in a periodic fashion where a cover set is computed at the beginning of each period.
 {\it Motivated by these works, DiLCO protocol  works in periods, where each  period contains a preliminary
   phase  for information  exchange and  decisions, followed  by a  sensing phase
   where one cover set is in charge of the sensing task.}
@@ -146,11 +146,11 @@ cooperatively by communicating with their neighbors which of them will remain in
 sleep    mode   for    a   certain    period   of    time.     The   centralized
 algorithms~\cite{cardei2005improving,zorbas2010solving,pujari2011high}     always
 provide nearly or close to optimal  solution since the algorithm has global view
-of the whole  network, but such a method has the  disadvantage of requiring high
+of the whole  network. But such a method has the  disadvantage of requiring high
 communication costs,  since the  node (located at  the base station)  making the
 decision needs information from all the sensor nodes in the area and the amount of information can be huge.
 {\it  In order to be suitable for large-scale network,  in the DiLCO  protocol,  the area  coverage  is divided  into several  smaller
-  subregions, and in  each of which, a  node called the leader is  on charge for
+  subregions, and in  each of one, a  node called the leader is  in charge for
   selecting the active sensors for the current period.}
 
 A large  variety of coverage scheduling  algorithms have been  developed. Many of
