Poster: An Improvement on Distance based Positioning on Network Edges

Dawei Liu, Ali H. Al-Bayatti, Wei Wang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE/ACM Symposium on Edge Computing, SEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-174
Number of pages2
ISBN (Electronic)9781728159430
DOIs
Publication statusPublished - Nov 2020
Event5th IEEE/ACM Symposium on Edge Computing, SEC 2020 - Virtual, San Jose, United States
Duration: 11 Nov 202013 Nov 2020

Publication series

NameProceedings - 2020 IEEE/ACM Symposium on Edge Computing, SEC 2020

Conference

Conference5th IEEE/ACM Symposium on Edge Computing, SEC 2020
Country/TerritoryUnited States
CityVirtual, San Jose
Period11/11/2013/11/20

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