关键词: 无线传感器网络, 蒙特卡罗定位算法, 锚节点, 移动节点

Abstract: In response to the problem of mobile node position for WSN, a hybrid location algorithm based on MCL for mobile unknown node is proposed, which is improved in the prediction and filtering stage. First, according to the number of anchor nodes information at time t received by unknown node, it selects the most suitable method to reduce the sampled area from four cases. Second, it decides whether it needs to filter or not according to four different cases. The simulation results show that the improved algorithm can reduce the sampled area significantly, at the same time, it improves the success rate of sampling and positioning accuracy, reduces the amount of sampled frequency calculation and the energy consumption, and prolongs the network life cycle.

Key words: Wireless Sensor Network（WSN）, Monte Carlo Localization（MCL）, anchor nodes, mobile nodes