一种改进的蒙特卡罗定位算法研究  

Research on Improved Algorithm of Monte Carlo Localization

作　　者：邵清亮[1] 李玉峰[1] 屈乐乐[1] 王鹏[2] 

机构地区：[1]沈阳航空航天大学,沈阳110136 [2]东软飞利浦医疗设备系统有限责任公司,沈阳110179

出　　处：《电信科学》2012年第5期84-87,共4页Telecommunications Science

摘　　要：针对移动无线传感器网络中节点随机运动的情况,蒙特卡罗定位(MCL)算法有较好的定位精度,但由于MCL方法严格过滤而进行的频繁重采样带来大量计算,加重了节点能量消耗,针对上述情况提出了基于接收信号强度(received signal strength,RSS)的蒙特卡罗定位算法,该算法利用锚节点之间的距离及其测得的移动节点的RSS值来校正移动节点与每个锚节点之间的权值,缩小了传统MCL算法的采样范围。仿真表明,该方法降低了蒙特卡罗方法的采样次数以及通信开销,同时提高了节点定位精度。In wireless sensor networks the monte carlo localization （MCL）algorithm for mobile nodes has a relative better accuracy. However the frequent resampling of MCL method for strict filtering brought a lot of calculation which increased the node energy consumption. The received signal strength （RSS）based on the monte carlo localization algorithm was proposed. This algorithm uses the distance between anchor nodes and the measured value of the mobile node to correct the RSS mobile node and each anchor node weights between the narrow the traditional range of monte carlo sampling algorithm. The simulation shows that the method reduces the number of monte carlo sampling range and the communication overhead, and increases the node localization accuracy.

关 键 词：无线传感器 网络 接收信号强度 蒙特卡罗算法 节点定位 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]