无线传感器网络的节点定位方法

Improved node localization algorithm for wireless sensor network

提出了一种MCBN(Monte Carlo loca liza tion boxed using non-anchor)定位算法。该算法建立在蒙特卡罗定位算法基础之上,利用两跳范围内可信任度权值最小且坐标确定的静态非锚节点,辅助网络中两跳范围内的锚节点构建最小锚盒,同时利用待定位节点上一时刻的位置信息和临时锚节点的特性增强样本过滤条件,进行快速抽样和样本过滤。仿真结果表明:MCBN同MCL和MCB算法相比,提高了节点定位精度,降低了节点能量损耗。

An location algorithrn called MCBN（Monte Carlo localization boxed using non-anchor） was proposed, which is based on the Monte Carlo localization algorithm. In this algorithm, the smallest anchor box is constructed by the anchor nodes within two hops in the network and the non-anchor nodes with minimum credit value and known coordinates, which leads to a shrank box where the sample and filter is more efficient to node location compared to the MCL and MCB. Simulation results show that MCBN has better performance than MCL and MCB in the node localization accuracy and energy consumption.