{"title":"Research on Improvement of Wireless Sensor Network Location Algorithm Based on DV-Hop","authors":"Q. He, Cong Dai, Rong Si, Jianwen Lin","doi":"10.1145/3371676.3371698","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the traditional DV-Hop localization algorithm has low positioning accuracy, an improved DV-Hop algorithm is proposed. The minimum mean square error is used to calculate the average hop distance of the anchor node, and the average hop distance from the unknown node to the anchor node is corrected by a dynamic weight associated with the minimum hop count. The coordinates of the unknown nodes are estimated by the two-dimensional hyperbolic method, and the estimated coordinates are updated by the parameter factors. And using MATLAB to simulate the improved algorithm. The simulation results show that compared with the traditional DV-Hop positioning algorithm, the improved algorithm positioning error is reduced by 21.8%, which makes the positioning accuracy greatly improved and does not need to add additional hardware overhead.","PeriodicalId":352443,"journal":{"name":"Proceedings of the 2019 9th International Conference on Communication and Network Security","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 9th International Conference on Communication and Network Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3371676.3371698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Aiming at the problem that the traditional DV-Hop localization algorithm has low positioning accuracy, an improved DV-Hop algorithm is proposed. The minimum mean square error is used to calculate the average hop distance of the anchor node, and the average hop distance from the unknown node to the anchor node is corrected by a dynamic weight associated with the minimum hop count. The coordinates of the unknown nodes are estimated by the two-dimensional hyperbolic method, and the estimated coordinates are updated by the parameter factors. And using MATLAB to simulate the improved algorithm. The simulation results show that compared with the traditional DV-Hop positioning algorithm, the improved algorithm positioning error is reduced by 21.8%, which makes the positioning accuracy greatly improved and does not need to add additional hardware overhead.