煤矿井下基于RSSI校正测距的WSN节点定位算法

WSN node location algorithm based on RSSI correction ranging in underground coal mine

针对煤矿井下人员及设备定位监控严重不足的情况,提出了基于RSSI校正测距的WSN节点定位技术。模拟井下环境,使用协议分析仪Packed Sniffer嗅探节点接收RSSI值,以确定环境参数;采用高斯理论模型过滤RSSI值,利用对数-正态分布理论模型计算距离;最后应用改进的三边质心定位算法求得未知节点坐标。RSSI校正测距定位与CC2431定位引擎定位的误差对比表明,文中所提算法的定位性能较好。该研究为井下无线传感器网络定位系统的设计提供了参考依据。

Aimed at addressing the serious shortage of positioning and monitoring of staff or equipment in the underground coal mine,this paper proposes WSN node location algorithm based on the RSSI correction ranging.The process consists of firstly simulating environment of the underground coal mine and determining the environment parameters by receiving RSSI value using Protocol analyzer,Packed Sniffer,secondly,filtering out the RSSI value by Gaussian theory model and calculating the distance using logarithm-normal distribution model,and finally calculating a blind node coordinates by the trilateral-centroid localization algorithm.The comparison the positioning error between the range-base correction RSSI and CC2431 positioning engine proves a better positioning performance for the localization algorithm.The research provides a better reference for designing WSN positioning system in the underground coal mine.