X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/LiCO.git/blobdiff_plain/01217fd6259039ccd55fec2272bad9cc902c2d4a..a6b75d539ec83b4958277b957744cb0eb7349aea:/LiCO_Journal.tex?ds=sidebyside

diff --git a/LiCO_Journal.tex b/LiCO_Journal.tex
index ed0de3c..051f111 100644
--- a/LiCO_Journal.tex
+++ b/LiCO_Journal.tex
@@ -69,7 +69,7 @@ distributed among sensor nodes in each  subregion.
 %More precisely, the scheduling of nodes' activities (sleep/wake up duty cycles)
 %is achieved  in each subregion by  a leader selected  after cooperation between
 %nodes within the same subregion.
-The  novelty of our approach lies essentially in the formulation of a new
+The novelty of our approach lies essentially in the formulation of a new
 mathematical optimization  model based on the  perimeter coverage level  to schedule
 sensors' activities.  Extensive simulation experiments have been performed using
 OMNeT++, the  discrete event simulator, to  demonstrate that PeCO  can
@@ -78,7 +78,7 @@ offer longer lifetime coverage for WSNs in comparison with some other protocols.
 
 % Note that keywords are not normally used for peerreview papers.
 \begin{IEEEkeywords}
-Wireless Sensor Networks, Area Coverage, Network lifetime, Optimization, Scheduling.
+Wireless Sensor Networks, Area Coverage, Network Lifetime, Optimization, Scheduling.
 \end{IEEEkeywords}
 
 \IEEEpeerreviewmaketitle