Research on Data Fusion of Low-speed Single Moving Target in Wireless Sensor Networks

In order to improve the efficiency of data fusion in wireless sensor network,reduce the energy consumption of sensor nodes,a kind of combined with dynamic clustering and static clustering technique network strategy is put forward.It overcomes the shortage of the traditional only static clustering or dynamic clustering technique.According to analyze and comparison the election of cluster head and detection environment parameters of target,it can reduce network hop count,reduce the data transmission,achieve the balanced use of energy and also prolong the lifetime of network.Its network data fusion performance is to the best in the state of low-speed single moving target.