基于改进鲸鱼优化的无线传感器网络节点定位算法  

Node localization algorithm for wireless sensor networks based on improved whale optimization

作　　者：费波涛 吴昊 石章松[2] FEI Botao;WU Hao;SHI Zhangsong(Experimental Teaching Center,Wuhan Technology and Business Univ.,Wuhan 430065,China;College of Weaponry Engineering,Naval Univ.of Engineering,Wuhan 430033,China)

机构地区：[1]武汉工商学院实验教学中心,武汉430065 [2]海军工程大学兵器工程学院,武汉430033

出　　处：《海军工程大学学报》2023年第2期90-95,共6页Journal of Naval University of Engineering

摘　　要：为克服接收信号强度指示(RSSI)测距模型的定位算法造成的测距误差大、定位精度低的缺点,利用经高斯修改的RSSI来降低距离测量误差,并引入一种改进的鲸鱼优化算法来优化待定位节点的位置,以提高定位精度。实验结果表明:所提出的定位算法的定位精度优于传统RSSI算法、多项式粒子群优化定位算法、基于鲸鱼优化和准仿生变换的进化定位算法,能较好地满足实际应用的定位需求。To overcome the shortcomings of large ranging error and low positioning accuracy caused by the positioning algorithm of the received signal strength indicator(RSSI)ranging model,the Gaussian-modified RSSI was used to reduce the distance measurement error,and an improved whale optimization algorithm was introduced to optimize the position of the nodes to be positioned to improve the positioning accuracy.The experimental results show that the proposed localization algorithm has better localization accuracy than the traditional RSSI algorithm,polynomial particle swarm optimization(HPSO)localization algorithm,and evolutionary(WOA-QT)localization algorithm based on whale optimization and quasi-affine transformation,and thus can better meet the localization requirements of practical applications.

关 键 词：鲸鱼优化 节点定位 RSSI 

分 类 号：TK427[动力工程及工程热物理—动力机械及工程]