Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105538
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Ho, YH | en_US |
dc.creator | Chan, HCB | en_US |
dc.date.accessioned | 2024-04-15T07:34:55Z | - |
dc.date.available | 2024-04-15T07:34:55Z | - |
dc.identifier.issn | 0140-3664 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105538 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.rights | ©2020 Elsevier B. V. All rights reserved. | en_US |
dc.rights | ©2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Ho, Y. H., & Chan, H. C. (2020). Decentralized adaptive indoor positioning protocol using Bluetooth Low Energy. Computer Communications, 159, 231-244. is available at https://doi.org/10.1016/j.comcom.2020.04.041. | en_US |
dc.subject | Bluetooth Low Energy | en_US |
dc.subject | Indoor positioning | en_US |
dc.title | Decentralized adaptive indoor positioning protocol using Bluetooth Low Energy | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 231 | en_US |
dc.identifier.epage | 244 | en_US |
dc.identifier.volume | 159 | en_US |
dc.identifier.doi | 10.1016/j.comcom.2020.04.041 | en_US |
dcterms.abstract | Previous indoor positioning research has mainly been focused on using Wi-Fi and RFID. In recent years, researchers began to study using Bluetooth 4.0 and Bluetooth Low Energy (BLE) for indoor positioning purposes. In general, positioning techniques based on received signal strength indicator (RSSI), such as signal propagation and fingerprint, are commonly used in wireless/mobile networks. These techniques have certain limitations and tradeoff in terms of accuracy, ease of implementation and practical application/deployment. For example, both methods require a training process before deployment. In this paper, we present a decentralized BLE-based positioning protocol that does not require training before deployment. The training process can automatically be done on the fly by the anchor nodes. While the anchor nodes are broadcasting, they also scan for signals emitted by other anchors. This collaborative communication process exchanges location information and signal strength measurements between each anchor. This process builds a signal-to-distance reference list for the target node to estimate physical distance in a more accurate way. Experimentation in a real indoor environment shows that the proposed collaborative positioning method can achieve an error of 1.5 meters on average. This is generally applicable for most indoor positioning applications for locating people. Furthermore, its implementation is simple and practical, because it does not require training before positioning estimation and is adaptive to environmental changes. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Computer communications, 1 June 2020, v. 159, p. 231-244 | en_US |
dcterms.isPartOf | Computer communications | en_US |
dcterms.issued | 2020-06-01 | - |
dc.identifier.scopus | 2-s2.0-85085218373 | - |
dc.identifier.eissn | 1873-703X | en_US |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-0322 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | PolyU | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 25648622 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Ho_Decentralized_Adaptive_Indoor.pdf | Pre-Published version | 1.94 MB | Adobe PDF | View/Open |
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