基于多重回归分析的DV-HOP定位算法研究

Study for DV-HOP localization algorithm based on multiple regression analysis

针对无线传感器网络中已有DV-HOP定位算法节点定位精度不高的问题,提出了一种RSDV-HOP(RS-SI and statistics DV-HOP)算法。该算法运用统计学中的多重回归分析方法,通过对锚节点信息建立的回归模型,运用到全网中实现对未知节点的定位。仿真结果表明,RSDV-HOP算法在定位精度上相比DV-HOP算法有明显的提高。

In the wireless sensor network,localization accuracy of DV-HOP algorithm is poor.This paper proposed a new RSDV-HOP（RSSI and statistics DV-HOP）localization algorithm.After making the regression analysis to anchor-node information,being used the regression model to locate unknown nodes.It proved that the localization accuracy of the RSDV-HOP algorithm has greatly improved compared with DV-HOP algorithm.