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Beacons positioning detection, a novel approach

dc.contributor.authorMorgado, Francisco
dc.contributor.authorMartins, Pedro
dc.contributor.authorCaldeira, Filipe
dc.date.accessioned2019-05-29T15:01:08Z
dc.date.available2019-05-29T15:01:08Z
dc.date.issued2019
dc.description.abstractRecent Bluetooth Low Energy (BLE) beacons provide new opportunities to explore positioning. Beacon positioning determination using current approaches is supported by pre-calculated formulas, for generic beacons, whereas the position can be accurately estimated with a low error up to a small distance; or based on fingerprinting the signal for the given space. In both cases, the accuracy variate depending on hardware specifications and other conditions such as beacon brand, wrap material, temperature, wind, location, surrounding interference, battery strength, among others. This paper introduces a method for beacon-based positioning, based on signal strength measurements at key distances for each beacon. This method allows for different beacon types, brands, and conditions. Depending on each situation (i.e., hardware and location) it is possible to adapt the distance measuring curve to minimize errors and support higher distances, while at the same time keeping good precision. Moreover, this paper also presents a comparison with traditional positioning method, using formulas for distance estimation, and then position triangulation. Performed tests took place at the library of the campus of the Polytechnic Institute of Viseu. Experimental results show that the proposed position technique has 13.2% better precision than triangulation, for distances up to 10 meters.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMorgado, F., Martins, P., & Caldeira, F. (2019). Beacons positioning detection, a novel approach. Procedia Computer Science, 151, 23–30. https://doi.org/10.1016/j.procs.2019.04.007pt_PT
dc.identifier.doi10.1016/j.procs.2019.04.007pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/5518
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationBlueEyespt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050919304685pt_PT
dc.subjectBeaconspt_PT
dc.subjectindoor locationpt_PT
dc.subjectBluetoothpt_PT
dc.subjectBLEpt_PT
dc.subjectdistance positionpt_PT
dc.subjectprecisionpt_PT
dc.titleBeacons positioning detection, a novel approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceLeuven - Belgiumpt_PT
oaire.citation.endPage30pt_PT
oaire.citation.startPage23pt_PT
oaire.citation.titleThe 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019pt_PT
oaire.citation.volume151pt_PT
person.familyNameCaldeira
person.givenNameFilipe
person.identifierlXPmBvYAAAAJ
person.identifier.ciencia-idCB11-8109-AB1D
person.identifier.orcid0000-0001-7558-2330
person.identifier.scopus-author-id36023210300
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione845705e-5b0b-4f70-9c53-c472ffd768d1
relation.isAuthorOfPublication.latestForDiscoverye845705e-5b0b-4f70-9c53-c472ffd768d1

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