Sensor scheduling target tracking-oriented based on particle swarm optimization

Target tracking with wireless sensor networks is a challenging problem because of sensor nodes' limited energy. Thus, deployment of sensor nodes must focus on power conservation. It is possible to keep power by sensor scheduling algorithm during target tracking. Sensor scheduling algorithm target tracking-oriented based on Particle Swarm Optimization is proposed in this paper. When a target move to the sensing filed, cluster heads are selected first, then CHs invite their neighboring sensors to form a cluster. Cluster formulation is optimized by Particle Swarm Optimization. Utilizing cluster technology can make good use of each sensor nodes' limited energy and perform tasks coordinately.