煤田地质与勘探Issue(1)：116-122,7.DOI:10.3969/j.issn.1001-1986.2016.01.023
煤矿井下无线传感器网络三维定位算法研究
3D positioning algorithm for wireless sensor networks in underground coal mine
摘要
Abstract
Aiming at the problems such as unreasonable model node, poor positioning accuracy, unstable algorithm and so on existing in positioning of wireless sensor networks in underground coal mines, the paper proposed a new model of node in underground workings, put forward node 3D positioning algorithm based on particle swarm algorithm for wireless sensor network in coal mines. This algorithm makes the mean square error of the estimate and the measured distance between the unknown node and the adjacent anchor nodes in three dimensional space as the optimization objective function. The positioning accuracy is improved through particle swarm optimization. The theoretical analysis and simulation results show that the algorithm has higher positioning accuracy and good stability, suitable for wireless sensor network node localization in underground coal mine .关键词
无线传感器网络/煤矿/节点模型/三维定位算法/粒子群算法Key words
wireless sensor networks/coal mine/node model/3D positioning algorithm/particle swarm algorithm分类
信息技术与安全科学引用本文复制引用
尚超,王峰,聂百胜,籍锦程..煤矿井下无线传感器网络三维定位算法研究[J].煤田地质与勘探,2016,(1):116-122,7.基金项目
山西省自然科学基金(2012011013-4)@@@@The Natural Science Foundation of Shanxi Province(2012011013-4) （2012011013-4）
