为了解决无线传感器网络移动节点定位精度低、计算方法复杂以及响应时间长的问题,提出了一种基于VWMC的传感器网络移动节点定位算法(VWMCL)。该算法利用MonteCarlo算法作为移动节点的基本定位算法,并在预测阶段加入航位推算方法,通过减少预测角度的误差来提高粒子位置预测的精度;并把Voronoi图和权值融合在MCL算法的粒子过滤阶段,采用Voronoi图和权值的双重筛选的机制,提高粒子过滤的准确性。仿真结果表明,该算法可以显著改善定位精度,减少算法的计算量,从而提高定位的效率。 In order to solve the problem of low positioning accuracy, complex computation and long response time of mobile nodes in wireless sensor networks, a VWMC-based sensor network mobile node localization algorithm (VWMCL) is proposed. The algorithm uses Monte Carlo algorithm as the basic positioning algorithm of mobile node and adds dead reckoning method in prediction stage to improve the accuracy of particle position prediction by reducing the error of prediction angle. The algorithm combines the Voronoi diagram and weights into the MCL particle In the filtering stage, the dual screening mechanism of Voronoi diagram and weights is used to improve the accuracy of particle filtration. Simulation results show that this algorithm can significantly improve the positioning accuracy and reduce the computational complexity of the algorithm, so as to improve the positioning efficiency.