一种基于蒙特卡罗法的无线传感器网络移动节点定位算法研究

A Study of Mobile Node Localization Algorithm Based on MCL for Wireless Sensor Networks

定位技术是无线传感器网络中关键的基础支撑技术。文章研究无线传感网中信标节点静止、定位节点随机运动情况下的节点定位方法。在传统MCL算法基础上,提出一个改进定位算法,通过构建节点运动模型,进行运动预测、位置滤波,提高定位精度。仿真结果表明,改进方案在不同的信标节点密度、不同的连接度、不同的节点运动速度等情况下,均表现出了良好的性能。

Localization is extremely critical for many applications in wireless sensor networks. This paper researches the mobile wireless sensor networks localization algorithm which can be used for the anchor node static and localization node random motion. We propose and analyze a variation of the Monte Carlo Localization （MCL） algorithm. The node motion model,the motion forecast,and the location filter are discussed in detail. Via simulation,the improvement method has outstanding performance in different density of anchor nodes,connectivity and movement velocity.