Long Cheng, Qianyue Qi, Xuehan Wu, Y. Shao, Yan Wang
{"title":"A NLOS selection based localization method for wireless sensor network","authors":"Long Cheng, Qianyue Qi, Xuehan Wu, Y. Shao, Yan Wang","doi":"10.1109/ICEIEC.2017.8076577","DOIUrl":null,"url":null,"abstract":"In recent years, the wireless sensor network (WSN) has become more and more popular, and the problem of WSN localization has attracted great attention. In non-line of sight (NLOS) propagation conditions, the localization is less accurate than in line of sight (LOS) propagation conditions because of the buildings between the mobile station and the base station obstruct the spread of waves. In order to make the location more accurate, in this paper, we propose an improved method to reduce the NLOS error based on Rwgh Algorithm. The basic idea of this method is to gradually eliminate the non-line of sight transmission situation, then positioning in the LOS propagation environment. According to the simulation result, this kind of method has better localization accuracy when compared with other methods.","PeriodicalId":163990,"journal":{"name":"2017 7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIEC.2017.8076577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In recent years, the wireless sensor network (WSN) has become more and more popular, and the problem of WSN localization has attracted great attention. In non-line of sight (NLOS) propagation conditions, the localization is less accurate than in line of sight (LOS) propagation conditions because of the buildings between the mobile station and the base station obstruct the spread of waves. In order to make the location more accurate, in this paper, we propose an improved method to reduce the NLOS error based on Rwgh Algorithm. The basic idea of this method is to gradually eliminate the non-line of sight transmission situation, then positioning in the LOS propagation environment. According to the simulation result, this kind of method has better localization accuracy when compared with other methods.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
