基于双通信半径与改进灰狼算法的距离向量跳段定位  

Distance Vector Hop Positioning Based on Double Communication Radius and Improved Gray Wolf Algorithm

作　　者：蔡朋宸 张达敏 张琳娜 尹德鑫[1,2] 秦维娜 Cai Pengchen;Zhang Damin;Zhang Linna;Yin Dexin;Qin Weina(College of Big Data and Information Engineering,Guizhou University,Guiyang,Guizhou 550025,China;College of Mechanical Engineering,Guizhou University,Guiyang,Guizhou 550025 China)

机构地区：[1]贵州大学大数据与信息工程学院,贵州贵阳550025 [2]贵州大学机械工程学院,贵州贵阳550025

出　　处：《激光与光电子学进展》2022年第7期347-354,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(62062021,61872034);贵州省科学技术基金([2020]1Y254);贵州省自然科学基金([2019]1064)。

摘　　要：针对无线传感器网络中距离向量跳段(DV-Hop)算法定位精度不高的问题,提出了一种基于双通信半径及改进灰狼算法的DV-Hop定位算法。首先,用双通信半径广播信标节点的位置,得到其与未知节点之间的跳数,从而得到信标节点与未知节点之间的距离。然后,用改进的灰狼算法估算未知节点的位置。仿真结果表明,相比传统的DV-Hop算法及同类型算法,改进DV-Hop算法的定位精度更高、稳定性更好。Aiming at the low positioning accuracy of distance vector hop(DV-Hop) algorithm in wireless sensor networks,a DV-Hop positioning algorithm based on double communication radius and improved gray wolf algorithm is proposed in this paper.First,the position of the beacon node is broadcast with the double communication radius,and the hop number between the beacon node and the unknown node is obtained,so as to get the distance between the beacon node and the unknown node.Then,an improved gray wolf algorithm is used to estimate the location of unknown nodes.Simulation results show that the improved DV-Hop algorithm has better positioning accuracy and stability than the traditional DV-Hop algorithm and similar algorithms.

关 键 词：传感器 无线传感器网络 双通信半径 灰狼优化算法 距离向量跳段 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]