Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/107311
Título: Intelligent beacon location and fingerprinting
Autor: Martins, Pedro
Abbasi, Maryam 
Sa, Filipe
Celiclio, Jose
Morgado, Francisco
Caldeira, Filipe 
Palavras-chave: beacons; wireless; GPS; indoor location; blockchain; crowd learning; Bluetooth; BLE; WiFi; fingerprinting
Data: 2019
Editora: Elsevier
Projeto: CENTRO-01-0145-FEDER-023797, 02/SAICT/2016 
CENTRO-01-0247-FEDER-017711 
UID/Multi/04016/2016 
Título da revista, periódico, livro ou evento: Procedia Computer Science
Volume: 151
Resumo: The 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.
URI: https://hdl.handle.net/10316/107311
ISSN: 18770509
DOI: 10.1016/j.procs.2019.04.005
Direitos: openAccess
Aparece nas coleções:I&D CISUC - Artigos em Revistas Internacionais

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