Sensor scheduling target tracking-oriented with wireless sensor network

Abstract

Power conservation is a challenging accomplishment for wireless sensor network because each sensor node's power recourses are limited. How to extend the lifetime of the network should be carefully considered in designing wireless sensor network. Sensor Scheduling is an effective method to allocate tasks among sensor nodes. Sensor Scheduling algorithm for target tracking is proposed in this paper. Clustering and is executed to schedule sensor node to track target. During Target tracking, only one cluster is allowed to be active, while the others are in sleep state for saving sensor nodes' power. Cluster formulation is optimized by Particle Swarm Optimization.