Energy efficiency is one of the most challenging issues in wireless sensor networks, particularly in the target tracking. The main purpose of these networks is to preserve the distributed important sites from the targets who in- tend to destroy the sites in an environment. This paper proposes a distributed energy-efficient mechanism for sleep scheduling the sensors followed by a dy- namic cellular clustering algorithm for tracking the targets. Probabilistic positions of the targets are predicted based on an improved particle filter procedure consec- utively. A cell, including a subset of sensors, is constructed over time considering the predicted positions of targets. This cellular algorithm not only decreases the number of awake sensors, but also increases the tracking quality. Moreover, a concept named communication base has been proposed for alleviating the com- munication volume of the sensors. Utilizing communication bases, sensors are able to exchange information in maximum three hops. The experimental results demonstrate the capability of the provided algorithms and mechanism in optimiz- ing the energy of sensors and increasing the tracking quality.
['Zohreh Mohammad Alizadeh', 'Mohsen Afsharchi', 'Armin Ghasem Azar']
A Distributed Energy-Efficient Algorithm for Cellular Target Tracking in Wireless Sensor Networks