Collaborative Signal Processing Cluster-Based in Wireless Sensor Network

Collaborative signal processing cluster-based for target tracking in wireless sensor network is proposed in this paper. Node clustering is a useful approach to reduce the communication overhead and develop data fuse in wireless sensor networks. Each sensor node, which has incomplete information about its dynamic and uncertain world, must respond to sensed events within time constraints. The aim of collaborative signal processing in wireless sensor network is to insure that all necessary parts of the tasks being dealt with are involved in the operations of at least one sensor node. When a target move to the sensing filed, a CH volunteers invite its neighboring sensors to form a cluster. All sensor nodes must act in a purposeful and consistent manner within the available computational and resource limitations Utilizing cluster technology can make good use of each sensor nodes' limited energy and perform tasks coordinately.