改进型无线传感器网络的质心定位方法

针对传统质心定位算法定位精度受锚节点密度影响大,但锚节点成本高而不能大量使用的问题,采用移动锚节点,引入高斯马尔科夫移动模型对锚节点移动路线进行规划,使锚节点在待测区域内随机移动形成更多的虚拟锚节点,代替传统定位算法中的锚节点,提高了质心定位算法中对未知节点的覆盖率与定位精度.仿真结果表明,该方法有效且能应用于大型无线传感器网络定位.

Improved Centroid Positioning Method for Wireless Sensor Network

In the node localization of wireless sensor network,the positioning accuracy depends on the anchor node’s density,but the cost of anchor nodes is very high.In this paper the Gauss Marco’s mobile model is introduced to identify the movement trajectories of anchor node,so that more virtual beacon nodes were formed to substitute the traditional anchor nodes used in the centroid localization algorithm.These virtual anchor nodes can distribute uniformly in the region detected.The simulation results show that the technique proposed in this paper is effective,it can improve the coverage and the accuracy in centroid localization algorithm for unknown nodes.