-In this paper the problem of perimeter coverage optimization in
-WSNs has been studied. A new protocol called Perimeter-based Coverage
-Optimization is designed. This protocol schedules nodes' activities (wake up and sleep stages) with
-the objective of maintaining a good coverage ratio while maximizing the network
-lifetime. This protocol is applied in a distributed way in regular subregions
-obtained after partitioning the area of interest in a preliminary step. It works
-in periods and is based on the resolution of an integer program to select the
-subset of sensors operating in active status for each period. This work is
-original in so far as it proposes for the first time an integer program
-scheduling the activation of sensors based on their perimeter coverage level,
-instead of using a set of targets/points to be covered. Several simulations have
-been carried out to evaluate the proposed protocol. The simulation results show
-that PeCO is more energy-efficient than other approaches, with respect to
-lifetime, coverage ratio, active sensors ratio, and energy consumption.
-
-This framework will be extented so that the schedules are planned for multiple
-sensing periods. The integer program would be improved to take into
-account heterogeneous sensors from both energy and node characteristics point of
-views. Finally, it would be interesting to implement the PeCO protocol using a
+In this paper the problem of perimeter coverage optimization in WSNs has been
+studied. A new protocol called Perimeter-based Coverage Optimization is
+designed. This protocol schedules nodes' activities (wake up and sleep stages)
+with the objective of maintaining a good coverage ratio while maximizing the
+network lifetime. This protocol is applied in a distributed way in regular
+subregions obtained after partitioning the area of interest in a preliminary
+step. It works in periods and is based on the resolution of an integer program
+to select the subset of sensors operating in active status for each period.
+This work is original in so far as it proposes for the first time an integer
+program scheduling the activation of sensors based on their perimeter coverage
+level, instead of using a set of targets/points to be covered. Several
+simulations have been carried out to evaluate the proposed protocol. The
+simulation results show that PeCO is more energy-efficient than other
+approaches, with respect to lifetime, coverage ratio, active sensors ratio, and
+energy consumption.
+
+This framework will be extented so that the schedules are planned for multiple
+sensing periods. The integer program would be improved to take into account
+heterogeneous sensors from both energy and node characteristics point of views.
+Finally, it would be interesting to implement the PeCO protocol using a
