基于RSSI修正的近似三角形加权质心定位算法

Triangular weighted centroid localization algorithm based on RSSI amend

节点的自身定位技术是无线传感器网络研究的核心技术,具有广泛的应用前景.针对基于RSSI测距技术的节点定位算法存在测量误差相对较大的缺陷,提出一种基于RSSI修正的近似三角形加权质心定位算法.该算法针对RSSI测距易受环境干扰,对测距数据进行高斯拟合和求均值,并以此作为节点的RSSI测量值.在此基础上,利用排序算法对测距结果进行排序,优选信标节点做三角形内点测试,最后采用加权质心定位算法来确定未知节点的坐标.仿真结果表明,改进算法改善了节点的定位精度.

In wireless sensor networks,the node localization is one of the core technologies,which has a wide promising application.Because the error of measurement is relatively large in the node localization algorithm based on RSSI distance measurement,a new approximate triangular weighted centroid localization algorithm based on RSSI correction is proposed.The algorithm according to the RSSI ranging is easily interfered by the environment,so the paper applies Gauss fitting and mean value to the ranging data,and regards it as the node of RSSI measure-ment value.Based on this,sorting algorithm is used to sort the ranging results,and then the authors preferred beacon node to triangle point test.Finally,weighted centroid localization algorithm is used to determine the coordinates of the unknown nodes.The simulation results show that the improved algorithm enhances the localization accuracy of the nodes.