基于蒙特卡罗算法煤矿井下人员定位研究  

ON LOCALIZATION OF COAL MINER BASED ON MONTE CARLO ALGORITHM

作　　者：邵清亮[1] 张振川[2] 张芝贤[1] 

机构地区：[1]沈阳航空工业学院电子信息工程学院,辽宁沈阳110136 [2]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《计算机应用与软件》2009年第4期165-166,179,共3页Computer Applications and Software

摘　　要：对比分析几种常用的无线传感器网络节点定位方法。针对煤矿井下节点移动性可能导致普通的定位算法变得不精确,提出了蒙特卡罗定位(Monte Carlo Localization)算法。该方法利用物体运动的连续性,通过选取合适的模型完成移动节点位置预测与定位。经仿真验证在低密度锚节点环境下,蒙特卡罗方法位置估计误差明显低于其它方法,提高了移动节点定位算法的准确性。Several commonly used localization algorithms in wireless sensor networks are compared and analyzed in this paper. The mobility of the nodes under coal mine may cause common localization algorithms inaccurate, in light of this, Monte Carlo localization algorithm is proposed. The mobile nodes location forecast and localization are completed in this method by using the continuity of object movement and selecting suitable model. Simulation results show that the location estimation error of this method was significantly lower than other methods in low-density anchor nodes environment. This method improved the accuracy of mobile nodes location algorithm.

关 键 词：无线传感器网络 蒙特卡罗算法 运动预测 矿工定位 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TN929.533[自动化与计算机技术—计算机科学与技术]