CAJ | 학술논문

采用无线传感器网络技术对井下人员和车辆进行准确定位是矿井作业安全保障的重要技术手段，但因井下巷道的空间半封闭特征和无线信号在巷道内传输的多径衰落等原因，使得传统平面和三维定位算法不能完全适用于井下巷道中的移动节点定位。针对这一问题，提出了一种改进的基于RSSI加权质心定位算法，该算法在巷道内节点分布模型的基础上，充分考虑巷道内无线传感器网络节点的异构性和移动性，将异构节点最大通信半径引入到权值的分配上，修正了权值。仿真实验表明，与普通的加权质心算法相比，提高了定位精度，且更适用于井下巷道、公路与铁路隧道。
채용무선전감기망락기술대정하인원화차량진행준학정위시광정작업안전보장적중요기술수단，단인정하항도적공간반봉폐특정화무선신호재항도내전수적다경쇠락등원인，사득전통평면화삼유정위산법불능완전괄용우정하항도중적이동절점정위。침대저일문제，제출료일충개진적기우RSSI가권질심정위산법，해산법재항도내절점분포모형적기출상，충분고필항도내무선전감기망락절점적이구성화이동성，장이구절점최대통신반경인입도권치적분배상，수정료권치。방진실험표명，여보통적가권질심산법상비，제고료정위정도，차경괄용우정하항도、공로여철로수도。
Wireless sensor network technology for mine personnel and vehicles is an important technology for accurate positioning means of mine work safety,but because of the space of underground roadway semi-closed char-acteristics and wireless signal transmission in the tunnel multipath fading, the traditional planar and three-dimensional localization algorithm cannot be fully applicable to the underground tunnel for mobile node localization. To solve this problem, an improved weighted centroid localization algorithm is proposed based on RSSI. The algorithm is based on node coverage model tunnel on the tunnel, fully considered with node heterogeneity and mobility,imported heterogeneous node communication radius’ influence for the assignment of weights,and adjusted weights. Simulation results show that the algorithm has higher location accuracy comparing with ordinary weighted centroid and more suitable for underground tunnel,highway and rail tunnels.