基于改进DV-Hop的水质WSN节点定位算法研究  

Research on Water Quality WSN Node Location Algorithm Based on Improved DV-Hop

作　　者：陈柄全 郭星锋 黄元峰[1] 杨明润 CHEN Bingquan;GUO Xingfeng;HUANG Yuanfeng;YANG Mingrun(School of Electrical and Information Engineering,Whan Instiute of Technology,Wuhan 430205,China)

机构地区：[1]武汉工程大学电气信息学院,湖北武汉430205

出　　处：《电视技术》2022年第6期42-45,共4页Video Engineering

摘　　要：通过设计基于灰狼算法改进的DV-Hop水质检测节点定位优化算法,以解决水质节点不能准确定位污染源的问题。首先引入平均跳距修正因子解决节点分布不均匀问题,其次改进灰狼算法的输入信息,使其同时具有位置坐标信息和距离信息,从而实现节点的精确定位。仿真结果显示,该算法相较于其他3种算法具有更高的定位精度。By designing an improved DV-Hop water quality detection node location optimization algorithm based on the gray wolf algorithm, the problem that water quality nodes cannot accurately locate the pollution source is solved. Firstly, the average hop distance correction factor is introduced to solve the problem of uneven distribution of nodes. Secondly, the input information of the gray wolf algorithm is improved so that it has both the position coordinate information and the distance information, so as to realize the precise positioning of the nodes. The simulation results show that the algorithm has higher positioning accuracy than the other three algorithms.

关 键 词：无线传感器网络 改进DV-Hop算法 平均跳距修正因子 改进灰狼优化算法 

分 类 号：TN929.5[电子电信—通信与信息系统]