基于虚节点校正的井下无线传感器网络定位算法

 针对在煤矿等复杂环境下应用修正加权质心定位算法时存在定位误差较大的问题，提出一种基于虚节点校正的改进加权质心定位算法。该算法是在修正加权质心定位算法的基础上，结合未知节点接收到的锚节点的接收信号强度指示(RSSI)信息对未知节点的估计范围进行校正，并利用虚节点进行修正加权质心定位计算。仿真结果表明，在相同实验条件下改进后的定位算法定位效果优于修正加权质心定位算法。

The Underground Localization Algorithm of Wireless Networks Based on Virtual Nodes Emendation

Aiming at the problem that the Modified Weighted Centroid Localization (MWCL) algorithm has a high localization error when it is used under the complex underground coal mine circumstances，Weighted Centroid Localization algorithm based on virtual nodes emendation is presented. The algorithm based on MWCL rectifies the range of evaluated location using Signal Strength Indicator (RSSI) of anchor received by unknown nodes and utilizes the virtual nodes to implement MWCL algorithm. The simulation results show that, the improved algorithm outperforms the MWCL algorithm under the same condition.