基于连通度和加权校正的移动节点定位算法

移动节点定位问题是无线传感器网络中的研究重点。针对移动节点定位误差大的问题，提出一种基于连通度和加权校正的移动节点定位算法。在未知节点移动过程中，根据节点间连通度大小选取参与定位的信标节点，利用加权校正方法修正RSSI测距信息，然后用最小二乘法对未知节点进行位置估计。仿真分析表明，节点通信半径和信标密度在一定范围内，该算法表现出良好的定位性能，定位精度明显提升。

Mobile Node Localization Algorithm Based On Connectivity And Weighted-Correcting

Localization of mobile sensor nodes is an important issue in Wireless Sensor Networks. To reduce the localization error, a mobile node localization algorithm based on connectivity and weighted-correcting is proposed in this paper. At the time of blind node moving, beacon nodes for localization are chosen by the connectivity of beacon nodes and the blind node. And weighted-correcting is used to correct the error of RSSI. At last, Least-Squares is applied for estimating position of unknown nodes. The simulation experiment shows that the algorithm proposed in this paper has good localization performance and the positioning accuracy is obviously improved in a certain range of node communication radius and beacon density.