关键词: 无线传感器网络, 能效, 节点调度, 代价参考粒子滤波, 目标跟踪

Abstract: An energy-efficient distributed multi-sensor collaborating target tracking algorithm was presented, which dealt with the problem of node scheduling and energy conservation for the uncertainties of complex motion tracking in the research of wireless sensor networks. According to the target state and the node density within the local monitoring region, the cluster size was determined by the residual energy and the history of node scheduling to balance the energy consumption. The Gaussian Cost-Reference particle filter was utilized to reduce the dependence on noise modeling in the target tracking process. Simulation results show that the algorithm can achieve the required tracking accuracy, and the node scheduling problem is solved to balance the energy consumption.