关键词: 无线传感网络, 移动定位, 蒙特卡罗, 接收信号强度指示

Abstract: The localization of perceptive nodes is the foundation for WSN （Wireless Sensor Network） applications. The existing static localization algorithms can not be used in dynamic sensor networks. In this paper, the so-called RRMCL（RSSI Rank Monte Carlo Localization） localization algorithm is proposed, which is about WSN applications where target nodes are moving while anchor nodes are static. The algorithm based on MCL divides communication region to reduce the size of sampling area by using the monotonic decreasing relation between RSSI value and the distance. In order to avoid localization failure caused by anchor node collinearity, the algorithm puts forward a constraint strategy which brings collinearity impact angle. The simulation results show that the proposed RRMCL can effectively reduce sampling area and improve the localization accuracy and speed, comparing with existing MCL and MCB algorithms.

Key words: Wireless Sensor Network（WSN）, mobile localization, Monte Carlo, Received Signal Strength Indication（RSSI）