Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/41514
Título: A protocol-channel-based indoor positioning performance study for bluetooth low energy
Autores/as: De Blasio, Gabriel 
Quesada-Arencibia, A. 
Garcia, C. R. 
Rodriguez-Rodriguez, Jose Carlos 
Moreno-Díaz, Roberto 
Clasificación UNESCO: 220990 Tratamiento digital. Imágenes
120304 Inteligencia artificial
Palabras clave: Bluetooth low energy
Indoor positioning
Fingerprinting
Distance and similarity measure
Protocol, et al.
Fecha de publicación: 2018
Publicación seriada: IEEE Access 
Resumen: Bluetooth Low Energy technology coupled with fingerprinting provides a simple way to position users with high accuracy in indoor environments. In this paper, we study the effect of BLE protocols and channels on indoor positioning using different distance and similarity measures in a controlled environment. With the aim of reproducing a real positioning system situation, we also study the effect of the user’s orientation in the positioning phase and, consequently, provide accuracy and precision results for each orientation. In a 168 m2 testbed, 12 beacons configured to broadcast with the Eddystone and iBeacon protocols were deployed and 40 distance/similarity measures were considered. According to our results, in a specific orientation there is a group of distance metrics coupled with a protocol-channel combination that produces similar accuracy results. Therefore, choosing the right distance metric in that specific orientation is not as critical as choosing the right protocol and, especially, the right channel. There is a trend whereby the protocol-channel combination that provides the best accuracy is almost unique for each orientation. Depending on the orientation, the accuracies obtained for the abovementioned group of distances are within the range of 1.1 m – 1.5 m and the precisions are 90% within the range of 1.5 m – 2.5 m.
URI: http://hdl.handle.net/10553/41514
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2018.2837497
Fuente: IEEE Access [ISSN 2169-3536], v. 6, p. 33440-33450
Colección:Artículos
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