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 language | English |
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| Title of host publication | Proceedings - 2020 IEEE/ACM Symposium on Edge Computing, SEC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 173-174 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781728159430 |
| DOIs | |
| Publication status | Published - Nov 2020 |
| Event | 5th IEEE/ACM Symposium on Edge Computing, SEC 2020 - Virtual, San Jose, United States Duration: 11 Nov 2020 → 13 Nov 2020 |
Publication series
| Name | Proceedings - 2020 IEEE/ACM Symposium on Edge Computing, SEC 2020 |
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Conference
| Conference | 5th IEEE/ACM Symposium on Edge Computing, SEC 2020 |
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| Country/Territory | United States |
| City | Virtual, San Jose |
| Period | 11/11/20 → 13/11/20 |
Cite this
Liu, D., Al-Bayatti, A. H., & Wang, W. (2020). Poster: An Improvement on Distance based Positioning on Network Edges. In Proceedings - 2020 IEEE/ACM Symposium on Edge Computing, SEC 2020 (pp. 173-174). Article 9355614 (Proceedings - 2020 IEEE/ACM Symposium on Edge Computing, SEC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEC50012.2020.00026