Abstract: Localization technology is one of the key supporting technologies in wireless sensor networks(WSNs). Most existing localization algorithms in literature are designed for static WSNs. Thus,most of them cannot be applied to mobile WSNs. This work began with a thorough investigation of Monte Carlo Localization algorithm. On this basis, we proposed a self-adjusting sampling area localization(SA_MCL) algorithm,in consideration of the characteristics of mobile sensor node. SA_MCL uses interpolation simulation method to process historical location information of a node. The purpose is to get the velocity and direction of the node, thereby improving positioning accuracy. Simulation results show that SA_MCL algorithm improves positioning accuracy of a node significantly.

Key words: Mobile WSNs, Localization, Monte carlo, Sampling area