基于无线访问节点选择的煤矿井下定位方法

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英文篇名：Coal mine underground localization method based on wireless access point selection 作者：季鹏 ; 赵培培 ; 宋明智 ; 张柯楠 英文作者：JI Peng;ZHAO Peipei;SONG Mingzhi;ZHANG Kenan;School of Information and Control Engineering,China University of Mining and Technology; 关键词：煤矿井下定位 ; 无线传感网络 ; 信息增益 ; AP选择 ; QPSO-SBL方法 英文关键词：coal mine underground localization;;wireless sensor network;;information gain;;AP selection;;QPSO-SBL method 中文刊名：MKZD 英文刊名：Industry and Mine Automation 机构：中国矿业大学信息与控制工程学院; 出版日期：2019-05-08 10:19 出版单位：工矿自动化 年：2019 期：v.45;No.279 基金：国家重点研发计划资助项目(2018YFC0808302) 语种：中文; 页：MKZD201906013 页数：4 CN：06 ISSN：32-1627/TP 分类号：72-75

摘要

针对量子粒子群优化-基于阶次序列定位(QPSO-SBL)方法定位精度较低的问题,采用基于信息增益的无线访问节点(AP)选择算法对其进行优化,由此提出了一种基于无线AP选择的煤矿井下定位方法。该方法根据AP的综合可辨识性按照降序对所有AP进行排列,选取前k个AP组成可用AP集合,将可用AP集合作为QPSO-SBL方法的输入量,通过QPSO-SBL方法得出定位结果。试验结果表明,基于无线AP选择的煤矿井下定位方法较QPSO-SBL方法的平均定位误差降低了约10.2%,整体稳定性较强,定位效果较好。
        For problem of low localization accuracy of quantum particle swarm optimization-sequence based localization(QPSO-SBL)method,a wireless access point(AP)selection algorithm based on information gain was used to optimize QPSO-SBL method,and a coal mine underground localization method based on wireless AP selection was proposed.In the method,all APs are ranked in descending order according to comprehensive identifiability of AP,and the first k APs are chosen to form an available AP set.The available AP set is considered as input of QPSO-SBL method,and localization results are obtained by QPSO-SBL method.The test results show that compared with QPSO-SBL method,the average localization error of the coal mine underground localization method based on wireless AP selection is reduced by 10.2% with stronger stability and better localization effect.

引文

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