基于蝙蝠优化算法的无线传感器网络节点定位研究

Research on Nodes Localization Method for Wireless Sensor Networks Based on Bat Optimization Algorithm

摘要:

节点定位是无线传感器网络应用中的关键技术,Dv-Hop算法的定位精度不尽人意,因此将三方面改进的蝙蝠算法应用于Dv-Hop平均跳距的计算过程中,在Dv-Hop的第三阶段引入改进后的蝙蝠算法代替最小二乘法来计算未知节点的坐标,大大降低平均跳距导致的定位误差,提高定位精度;仿真结果表明,改进的BA算法优化的DV-hop定位算法在不同锚节点密度、不同通信半径、不同节点数量以及定位精确度等方面表现出良好的性能。

Abstract:

Node localization is the most critical technologies of applications in wireless sensor networks. In Dv-Hop algorithm,the localization accuracy is unsatisfactory. In this paper, the bat optimization algorithm is used to calculate the mean distance per hop,the improved BA replace least-squares method to correct the estimated position in the third stage of Dv-Hop algorithm. So the positioning error is reduced, the accuracy is significantly improved. Simulation results show that the proposed algorithm can achieve higher localization accuracy in different percentage of anchor nodes ,and different transmission range of nodes,and different nodes number.