A dynamic clustering algorithm for target tracking in asynchronous wireless sensor networks

In order to solve the problems of node cooperation and tracking time registration in target tracking of wireless sensor networks, a dynamic clustering algorithm on the condition of time asynchronous is proposed. The algorithm dynamically establishes tracking-clusters by analyzing the wireless signal strength of the target and distances from target to nodes, and then restructures the covered area of the RF signal for functional partition by the cluster header according to the communication distance between the target and the cluster header. The algorithm uses the cluster as the unit for calculation of tracking time, and the tracking time is registered by timing in cluster and sequence transferring between different clusters. The simulation results show that the algorithm can proportion the energy consumption of network effectively, and has the good performance in tracking accuracy and system robustness.