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作 者:田丰[1] 秦涛[1] 刘华艳[2] 孙恩岩[1] 王传云[1]
机构地区:[1]沈阳航空航天大学计算机学院,辽宁沈阳110136 [2]辽宁大学信息科学与技术学院,辽宁沈阳110036
出 处:《煤炭学报》2010年第10期1760-1764,共5页Journal of China Coal Society
基 金:辽宁省自然科学基金资助项目(20082011);沈阳市科学技术计划资助项目(1091185-1-00)
摘 要:针对煤矿井下线型无线传感器网络节点定位精度较低的问题,提出了基于RSSI(接收信号强度指示)的对角差分修正定位算法。该算法在对线型无线传感器网络节点定位的横向和纵向误差进行分析的基础上,首先利用差分原理对测量距离进行修正,并使用极大似然估计法进行初步定位;然后应用信标节点构建煤矿井下巷道模型,在该模型下对移动节点进行横向修正。仿真结果表明,该算法较传统的极大似然估计算法具有较高的定位精度和稳定性,适用于煤矿井下线型无线传感器网络节点定位。Aiming at the problem that positioning accuracy of linear wireless sensor network was lower in underground coal mine,based on received signal strength indicator a localization algorithm of diagonal differential correction was presented.Based on analyzing the horizontal error and vertical error of nodes localization for linear wireless sensor network,the initial localization was achieved by maximum likelihood estimation method after using difference principle to correct measuring distance,and the mobile nodes'coordinate in the transverse was corrected by tunnel model of underground coal mine which was build using beacon nodes.The simulation results show that the algorithm has higher positioning accuracy and stability than traditional maximum likelihood estimation.
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