Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52392
Title: Analysis of distance and similarity metrics in indoor positioning based on bluetooth low energy
Authors: de Blasio, Gabriel 
Quesada-Arencibia, Alexis 
García, Carmelo R. 
Moreno-Díaz, Roberto 
Rodríguez-Rodríguez, Jose Carlos 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2017
Publisher: Springer 
Journal: Lecture Notes in Computer Science 
Conference: 11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017 
Abstract: In this work, we provide an analysis of BLE channel-separate fingerprinting using different distance and similarity measures. In a 168 m2 testbed, 12 beacons with Eddystone and iBeacon protocols set were deployed, taking into account the orientation of users and considering 10 distance/similarity measures. We have observed that there is an orientation that offers the best positioning performance with the combination of iBeacon protocol, channel 38 and Mahalanobis distance. Taking 8 samples in the online phase, accuracy values obtained are in the range 1.28 m–1.88 m, and precision values are within 1.90 m–3.76 m or less, 90% of the time and depending which orientation the observer is facing.
URI: http://hdl.handle.net/10553/52392
ISBN: 978-3-319-67584-8
ISSN: 0302-9743
DOI: 10.1007/978-3-319-67585-5_23
Source: Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science, v. 10586 LNCS, p. 213-224
Appears in Collections:Capítulo de libro
Show full item record

SCOPUSTM   
Citations

4
checked on Apr 14, 2024

Page view(s)

87
checked on Apr 6, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.