摘要
为了解决移动无线传感器网络中节点的自身定位问题,提出了一种基于运动预测的定位算法。该算法利用节点运动的连续性和接收信号强度测距方式,保存其最近两组历史位置信息,并结合节点当前的状态来估计自身位置。它不需要额外的硬件支持与较高的信标节点密度,满足复杂传输环境的应用要求。仿真结果表明,该算法具有较好的鲁棒性和较高的定位精度,节点随机运动时的定位误差约为15%,而直线运动时只有12%。
To solve the problem of node self-localization in mobile wireless sensor networks,a localization algorithm based on movement prediction is proposed.By the continuity of the node movement and the ranging of received signal strength(RSS),this algorithm could preserve the latest historical location information,and in combination of the current state of the mobile node estimate its location.This algorithm needs no additional hardware and high density of beacon node,and has excellent adaptation capability to practical environment.Simulation shows that the proposed algorithm is robust and has fairly high localization precision.The location error is about 15% while the nodes move randomly and only 12% while they have linear movement.
出处
《通信技术》
2011年第6期70-72,75,共4页
Communications Technology
关键词
无线传感器网络
运动预测
节点定位
接收信号强度
wireless sensor network
movement prediction
node localization
received signal strength
