摘要
在许多应用中,无线传感器网络中节点的位置信息往往决定着网络的功能和性能。为了解决移动无线传感器网络三维定位问题,提出了一种优化的移动无线传感器网络定位算法。该算法在三维空间中利用在监测区域内随机分布的固定锚节点,移动未知节点通过判断是否是第一次收到或第一次没有收到锚节点的位置信息,同时结合前一定位时刻移动未知节点的位置及距移动未知节点一跳和两跳的固定锚节点的位置,缩小移动未知节点可能所在的区域范围,进而减小节点的定位误差。通过计算机仿真发现与扩展到三维空间的蒙特卡洛(MCL)定位算法相比,本算法具有较高的定位精度。
In many applications,the function and performance of wireless sensor network（WSN）depend on the location information of sensor nodes.In order to deal with the three-dimensional localization in WSN,an optimized localization algorithm for WSN was proposed in this paper.In the proposed algorithm,fixed anchor nodes are deployed randomly in the monitoring zone of the three-dimensional space.The mobile sensor node judges whether it is the first time that it receives or not receives the position information from anchor nodes.It also utilizes the position of itself in the previous localization time and the position information of anchor nodes that one hop and two hops apart from itself to reduce the location error.Simulation results show that,compared with the threedimensional Monte Carlo localization（MCL）localization algorithm,the proposed localization algorithm has higher localization accuracy.
作者
王照宇
WANG Zhao-yu(China Information Technology Designing ＆ Consulting Institute Co. Ltd., Zhengzhou 450000, Chin)
出处
《移动通信》
2017年第4期74-78,共5页
Mobile Communications
