Analysis of distance and similarity metrics in indoor positioning based on bluetooth low energy

Título:	Analysis of distance and similarity metrics in indoor positioning based on bluetooth low energy
Autores/as:	de Blasio, Gabriel Quesada-Arencibia, Alexis García, Carmelo R. Moreno-Díaz, Roberto Rodríguez-Rodríguez, Jose Carlos
Clasificación UNESCO:	1203 Ciencia de los ordenadores
Fecha de publicación:	2017
Editor/a:	Springer
Publicación seriada:	Lecture Notes in Computer Science
Conferencia:	11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017
Resumen:	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
Fuente:	Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science, v. 10586 LNCS, p. 213-224
Colección:	Capítulo de libro

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