海量文献数据无线传感DV-Hop定位算法设计  

Design of DV-Hop Positioning Algorithm for Wireless Sensing of Massive Literature Data

作　　者：王超[1,2] 宋荷庆[3] WANG Chao;SONG He-qing(College of Computer and Cyber Security,Fujian Normal University,Fujian Fuzhou 350001,China;Preparatory Office of Fujian Provincial Library,Fuzhou Fujian 350001,China;School of Computer Science,Zhejiang Gongshang University,Hangzhou Zhejiang 310018,China)

机构地区：[1]福建师范大学,福建福州350001 [2]福建省图书馆筹建办,福建福州350001 [3]浙江工商大学计算机学院,浙江杭州310018

出　　处：《计算机仿真》2023年第9期371-374,501,共5页Computer Simulation

摘　　要：现有的数据无线传感定位算法无法获取锚节点与待定位节点之间的最小跳数,导致定位偏差较大,且可应用的网络环境单一。针对海量文献数据,设计新的无线传感DV-Hop定位算法。利用文献数据位置信息表获取锚节点至待定位文献数据未知节点的最小跳数,利用所确定的最小跳数确定无线传感器网络中每跳的平均距离,选取极大似然估计法利用每跳的平均距离确定待定位未知节点的定位结果。通过修正锚节点间跳数、修正未知节点跳数以及修正未知节点平均跳距三部分优化DV-Hop定位算法,提升海量文献数据定位精度。实验结果表明,修正系数为2.05时,文献数据定位精度较高;定位精度伴随锚节点覆盖率的提升有所降低;不同网络场景时,所研究算法的定位精度均高于0.94。The existing data wireless sensor positioning algorithms cannot obtain the minimum number of hops between anchor nodes and nodes to be located,resulting in significant positioning deviation and a single applicable network environment.Therefore,a wireless sensing DV-HOP localization algorithm was designed for massive literature data.The minimum hop between the anchor node and the unknown node of the literature data to be located was obtained by using the information table of literature data location.Based on the minimum hop,the average distance of each hop in wireless sensor network was determined.Then,based on the average distance of each hop,maximum likelihood estimation method was adopted to determine the location result of unknown node.Finally,DV-HOP localization algorithm was optimized by modifying the hop between anchor nodes,the hop of unknown nodes and the average hop distance of unknown nodes.Thus,the positioning accuracy of massive literature data was improved.Following conclusions can be drawn from experimental results.When the coefficient of correction is 2.05,the positioning accuracy of literature data is higher than before.The positioning accuracy decreases with the increase of the coverage of anchor nodes.In different network scenarios,the positioning accuracy of the proposed algorithm exceeds O.94 totally.

关 键 词：海量文献数据 无线传感 定位算法 锚节点 平均跳距 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]