Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/107311
Title: Intelligent beacon location and fingerprinting
Authors: Martins, Pedro
Abbasi, Maryam 
Sa, Filipe
Celiclio, Jose
Morgado, Francisco
Caldeira, Filipe 
Keywords: beacons; wireless; GPS; indoor location; blockchain; crowd learning; Bluetooth; BLE; WiFi; fingerprinting
Issue Date: 2019
Publisher: Elsevier
Project: CENTRO-01-0145-FEDER-023797, 02/SAICT/2016 
CENTRO-01-0247-FEDER-017711 
UID/Multi/04016/2016 
metadata.degois.publication.title: Procedia Computer Science
metadata.degois.publication.volume: 151
Abstract: 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
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais

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