Dynamic Collaborative Algorithms Based on Clustering Routing Protocol Applied in Wireless Sensor Network

In this paper, a new information fusion mechanism is proposed to reduce the requirement for energy, the storage and network resources in wireless sensor network (WSN). According to the current position of the target, these nodes are dynamically clustered such that a distributed tracking mechanism is established. And then, the Kalman filter algorithm based on information matrix is proposed to attain the objective tracking, which is also compared with the same algorithm without clustering. The simulation results show that the proposed algorithm is effective and reliable. Moreover, for the case that there may happen packeddrop in WSN, Grubbs criterion may effectively improve the tracking performance.