{"title":"海报:一种基于网络边缘距离定位的改进","authors":"Dawei Liu, A. Al-Bayatti, Wei Wang","doi":"10.1109/SEC50012.2020.00026","DOIUrl":null,"url":null,"abstract":"Distance based positioning methods have been widely used in today’s wireless networks for positioning network users. In this paper, we present a study on distance based positioning at network edges. We show that existing methods may not be able to find the optimal position at network edges due to the presence of measurement noise and the use of biased estimation. To handle this problem, we propose an improvement on the estimation method. Simulation results show that the proposed improvement can reduce position error by 30% in 20% of a network area.","PeriodicalId":375577,"journal":{"name":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster: An Improvement on Distance based Positioning on Network Edges\",\"authors\":\"Dawei Liu, A. Al-Bayatti, Wei Wang\",\"doi\":\"10.1109/SEC50012.2020.00026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Distance based positioning methods have been widely used in today’s wireless networks for positioning network users. In this paper, we present a study on distance based positioning at network edges. We show that existing methods may not be able to find the optimal position at network edges due to the presence of measurement noise and the use of biased estimation. To handle this problem, we propose an improvement on the estimation method. Simulation results show that the proposed improvement can reduce position error by 30% in 20% of a network area.\",\"PeriodicalId\":375577,\"journal\":{\"name\":\"2020 IEEE/ACM Symposium on Edge Computing (SEC)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE/ACM Symposium on Edge Computing (SEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SEC50012.2020.00026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ACM Symposium on Edge Computing (SEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC50012.2020.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: An Improvement on Distance based Positioning on Network Edges
Distance based positioning methods have been widely used in today’s wireless networks for positioning network users. In this paper, we present a study on distance based positioning at network edges. We show that existing methods may not be able to find the optimal position at network edges due to the presence of measurement noise and the use of biased estimation. To handle this problem, we propose an improvement on the estimation method. Simulation results show that the proposed improvement can reduce position error by 30% in 20% of a network area.