Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107199
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Lam, KH | en_US |
dc.creator | Cheung, CC | en_US |
dc.creator | Lee, WC | en_US |
dc.date.accessioned | 2024-06-13T01:04:32Z | - |
dc.date.available | 2024-06-13T01:04:32Z | - |
dc.identifier.isbn | 978-1-5386-2667-2 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/107199 | - |
dc.description | 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 23-27 July 2018, Tokyo, Japan | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication K. -H. Lam, C. -C. Cheung and W. -C. Lee, "New RSSI-Based LoRa Localization Algorithms for Very Noisy Outdoor Environment," 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), Tokyo, Japan, 2018, pp. 794-799 is available at https://doi.org/10.1109/COMPSAC.2018.10340. | en_US |
dc.subject | Localization system | en_US |
dc.subject | LoRa technology | en_US |
dc.subject | Smart environment | en_US |
dc.subject | Urban networking | en_US |
dc.title | New RSSI-based LoRa localization algorithms for very noisy outdoor environment | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 794 | en_US |
dc.identifier.epage | 799 | en_US |
dc.identifier.doi | 10.1109/COMPSAC.2018.10340 | en_US |
dcterms.abstract | It have been proved that LoRa networks are suitable to do the localization for outdoor environment [1] [2]. Through the performance investigation in simulation models and real experiments, it showed that the performance of RSSI-based LoRa localization algorithms in [1] is compatible to The Global Positioning System (GPS), the most popular outdoor localization system. However, in very noisy outdoor environment, the performance of the algorithms degrades significantly because the effect of noisy nodes (anchor nodes that are highly affected by noise) cannot be totally avoided in localization. Based on this observation, we propose two new RSSI-based LoRa localization algorithms to further improve the accuracy of the localization for very noisy outdoor environment. One new algorithm iteratively removes all noisy nodes and use the remaining anchor nodes to process the localization; while the other new algorithm uses density clustering to get the best estimation. Our performance investigation shows that the proposed algorithms outperform the algorithms in [1] significantly in terms of the localization error if the outdoor environment is very noisy. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | In Proceedings of 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), 23-27 July 2018, Tokyo, Japan, p. 794-799 | en_US |
dcterms.issued | 2018 | - |
dc.identifier.scopus | 2-s2.0-85055545026 | - |
dc.relation.conference | IEEE Annual International Computer Software and Applications Conference [COMPSAC] | - |
dc.description.validate | 202404 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0493 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Cloudicty Co. Ltd. | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 20270134 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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Lam_New_RSSI-Based_ LoRa.pdf | Pre-Published version | 379.78 kB | Adobe PDF | View/Open |
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