基于差分修正的传感器网络加权质心定位算法

节点定位是无线传感器网络应用的关键技术。针对加权质心定位算法存在的测距误差影响,提出了一种基于差分校正的加权质心定位算法DWCLA。算法先进行信标节点之间的测距,并用其实际位置求得测距的误差因子。节点利用最近信标节点的误差因子修正测距,从而对权值进行修正。仿真结果表明,DWCLA算法降低了测距误差对定位的影响,提高了算法的定位精度。

Weighted Centroid Localization Algorithm Based on Difference Correction for Sensor Networks

Localization of nodes is a key technology for application of wireless sensor networks.A Weighted Centroid Localization Algorithm was proposed based on Difference correction(DWCLA) for wireless sensor networks,which dealt with the error of the range measurement when the nodes used Weighted Centroid Localization Algorithm(WCLA).The new algorithm let beacons measured the distances from each other,and then obtained error factors using their position.Nodes employed the error factors of the nearest beacons to correct their range measurement,and also correct their weights.The simulation result shows that the DWCLA can decrease the infection of measurement error and improve the localization precision.