摘要
为了提高无线传感器网络节点定位覆盖率,抑制误差累积,在Euclidean测距的基础上,提出了一种新的分布式节点定位算法。该算法通过多跳距离测量提高定位覆盖率;设置置信因子门限值,采用组合三边测量获得坐标估计值集合,再采用加权平均的方法提高定位精度。仿真结果表明,该算法能够有效地抑制定位误差在网络内的扩散,适用于大规模的无线传感器网络节点定位。
In order to increase localization coverage and restrain error cumulation,a new distributed localization algorithm was proposed based on Euclidean ranging.The algorithm utilized multi-hop ranging approach to increase localization coverage.It set believable factor threshold and used combination trilateration method to obtain the set of coordinate estimates,and then weighted average method was employed to improve localization accuracy.Simulation results showed that the algorithm was efficient to prevent localization errors from spreading through the networks,and it was fit for the large scale sensor networks.
出处
《武汉理工大学学报(信息与管理工程版)》
CAS
2010年第4期538-541,共4页
Journal of Wuhan University of Technology:Information & Management Engineering
关键词
无线传感器网络
节点定位
多跳距离测量
置信因子
wireless sensor network
node localization
multi-hop ranging
believable factor