CAJ | 학술논문

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。
침대매광정하인원급설비정위감공엄중불족적정황,제출료기우RSSI교정측거적WSN절점정위기술。모의정하배경,사용협의분석의Packed Sniffer후탐절점접수RSSI치,이학정배경삼수;채용고사이론모형과려RSSI치,이용대수-정태분포이론모형계산거리;최후응용개진적삼변질심정위산법구득미지절점좌표。RSSI교정측거정위여CC2431정위인경정위적오차대비표명,문중소제산법적정위성능교호。해연구위정하무선전감기망락정위계통적설계제공료삼고의거。
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.