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2017 | OriginalPaper | Buchkapitel

Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy

verfasst von : Gabriel de Blasio, Alexis Quesada-Arencibia, Carmelo R. García, Roberto Moreno-Díaz Jr., Jose Carlos Rodríguez-Rodríguez

Erschienen in: Ubiquitous Computing and Ambient Intelligence

Verlag: Springer International Publishing

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Abstract

In this work, we provide an analysis of BLE channel-separate fingerprinting using different distance and similarity measures. In a 168 m\(^{2}\) 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.

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Metadaten
Titel
Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy
verfasst von
Gabriel de Blasio
Alexis Quesada-Arencibia
Carmelo R. García
Roberto Moreno-Díaz Jr.
Jose Carlos Rodríguez-Rodríguez
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-67585-5_23