% author names and affiliations
% use a multiple column layout for up to three different
% affiliations
-\author{\IEEEauthorblockN{Ali Kadhum Idrees, Karine Deschinkel, Michel Salomon, and Raphael Couturier }
-\IEEEauthorblockA{FEMTO-ST Institute, UMR CNRS, University of Franche-Comte, Belfort, France \\
-Email:$\lbrace$ali.idness, karine.deschinkel, michel.salomon,raphael.couturier$\rbrace$@femto-st.fr}
+\author{\IEEEauthorblockN{Ali Kadhum Idrees, Karine Deschinkel, Michel Salomon, and Rapha\"el Couturier }
+\IEEEauthorblockA{FEMTO-ST Institute, UMR 6174 CNRS, University of Franche-Comte, Belfort, France \\
+Email: ali.idness@edu.univ-fcomte.fr, $\lbrace$karine.deschinkel, michel.salomon, raphael.couturier$\rbrace$@univ-fcomte.fr}
%\email{\{ali.idness, karine.deschinkel, michel.salomon, raphael.couturier\}@univ-fcomte.fr}
%\and
%\IEEEauthorblockN{Homer Simpson}
where a round starts with a discovery phase to exchange information
between sensors of the subregion, in order to choose in suitable
manner a sensor node to carry out a coverage strategy. This coverage
-strategy involves the resolution of an integer program which provides
+strategy involves the solving of an integer program which provides
the activation of the sensors for the sensing phase of the current
round.
proposed approach. Finally, we give concluding remarks and some
suggestions for future works in Section~\ref{sec:conclusion}.
-\section{\uppercase{Related work}}
+\section{\uppercase{Related works}}
\label{rw}
\noindent
This section is dedicated to the various approaches proposed in the
sensor network becomes disconnected, and we measure the coverage ratio
during the WSN lifetime. Network connectivity is important because an
active sensor node without connectivity towards a base station cannot
-transmit information on an event in the area that it monitor.
+transmit information on an event in the area that it monitors.
{\bf Activity scheduling}
scheduling. In the distributed algorithms, each node in the network
autonomously makes decisions on whether to turn on or turn off itself
only using local neighbor information. In centralized algorithms, a
-central controller (a node or base station) informs every sensor of
+central controller (a node or base station) informs every sensors of
the time intervals to be activated.
{\bf Distributed approaches}
Some distributed algorithms have been developed
-in~\cite{Gallais06,Tian02,Ye03,Zhang05,HeinzelmanCB02}. Distributed
+in~\cite{Gallais06,Tian02,Ye03,Zhang05,HeinzelmanCB02} to perform the schelduling. Distributed
algorithms typically operate in rounds for predetermined duration. At
the beginning of each round, a sensor exchange information with its
neighbors and makes a decision to either remain turned on or to go to
\cite{Prasad:2007:DAL:1782174.1782218} defines a model for capturing
the dependencies between different cover sets and proposes localized
heuristic based on this dependency. The algorithm consists of two
-phases, an initial setup phase during which each sensor calculates and
+phases, an initial setup phase during which each sensor computes and
prioritize the covers and a sensing phase during which each sensor
first decides its on/off status, and then remains on or off for the
rest of the duration. Authors in \cite{chin2007} propose a novel
First algorithms proposed in the literature consider that the cover
sets are disjoint: a sensor node appears in exactly one of the
-generated cover sets. For instance Slijepcevic and Potkonjak
+generated cover sets. For instance, Slijepcevic and Potkonjak
\cite{Slijepcevic01powerefficient} propose an algorithm which
allocates sensor nodes in mutually independent sets to monitor an area
-divided into several fields. Their algorithm constructs a cover set by
+divided into several fields. Their algorithm builds a cover set by
including in priority the sensor nodes which cover critical fields,
that is to say fields that are covered by the smallest number of
sensors. The time complexity of their heuristic is $O(n^2)$ where $n$
show a slight performance improvement in terms of the number of
produced DSC in comparison to~\cite{Slijepcevic01powerefficient}, but
it incurs higher execution time due to the complexity of the mixed
-integer programming resolution. %Cardei and Du
+integer programming solving. %Cardei and Du
\cite{Cardei:2005:IWS:1160086.1160098} propose a method to efficiently
compute the maximum number of disjoint set covers such that each set
can monitor all targets. They first transform the problem into a
to describe our approach before going into details in the subsequent
sections.
\begin{itemize}
-\item {\bf How must be planned the phases for information exchange,
- decision and sensing over time?} Our algorithm divides the time
+\item {\bf How must the phases for information exchange,
+ decision and sensing be planned over time?} Our algorithm divides the time
line into a number of rounds. Each round contains 4 phases:
Information Exchange, Leader Election, Decision, and Sensing.
