Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107311
DC FieldValueLanguage
dc.contributor.authorMartins, Pedro-
dc.contributor.authorAbbasi, Maryam-
dc.contributor.authorSa, Filipe-
dc.contributor.authorCeliclio, Jose-
dc.contributor.authorMorgado, Francisco-
dc.contributor.authorCaldeira, Filipe-
dc.date.accessioned2023-07-03T09:31:23Z-
dc.date.available2023-07-03T09:31:23Z-
dc.date.issued2019-
dc.identifier.issn18770509pt
dc.identifier.urihttps://hdl.handle.net/10316/107311-
dc.description.abstractThe complex way radio waves propagate indoors, leads to the derivation of location using fingerprinting techniques. In this cases, location is computed relying on WiFi signals strength mapping. Recent Bluetooth Low Energy (BLE) provides new opportunities to explore positioning. Indoor location identification plays a fundamental role as a business and personal level. At a business level, indoor location pinpointing where GPS signal is nonexistent is used to advise users and send push notifications (e.g., stores publicity, guide persons with special needs, or even for emergency evacuation). In this work is studied how BLE beacons radio signals can be used for indoor location scenarios, as well as their precision. The proposed study is performed inside the campus of Viseu Polytechnic Institute, using hundreds of students, each with his smartphone, as proof of concept. Experimental results show that BLE allows having less than 1.5 meters error approximately 90% of the times.pt
dc.language.isoengpt
dc.publisherElsevierpt
dc.relationCENTRO-01-0145-FEDER-023797, 02/SAICT/2016pt
dc.relationCENTRO-01-0247-FEDER-017711pt
dc.relationUID/Multi/04016/2016pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt
dc.subjectbeaconspt
dc.subjectwirelesspt
dc.subjectGPSpt
dc.subjectindoor locationpt
dc.subjectblockchainpt
dc.subjectcrowd learningpt
dc.subjectBluetoothpt
dc.subjectBLEpt
dc.subjectWiFipt
dc.subjectfingerprintingpt
dc.titleIntelligent beacon location and fingerprintingpt
dc.typearticle-
degois.publication.firstPage9pt
degois.publication.lastPage16pt
degois.publication.titleProcedia Computer Sciencept
dc.peerreviewedyespt
dc.identifier.doi10.1016/j.procs.2019.04.005pt
degois.publication.volume151pt
dc.date.embargo2019-01-01*
uc.date.periodoEmbargo0pt
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais
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