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Multi-layer Security Mechanism for Networked Embedded Devices Read chapter Read first chapter

2017 | OriginalPaper | Chapter

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

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

Published in: Ubiquitous Computing and Ambient Intelligence

Publisher: 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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Metadata
Title
Analysis of Distance and Similarity Metrics in Indoor Positioning Based on Bluetooth Low Energy
Authors
Gabriel de Blasio
Alexis Quesada-Arencibia
Carmelo R. García
Roberto Moreno-Díaz Jr.
Jose Carlos Rodríguez-Rodríguez
Copyright Year
2017
Book
Ubiquitous Computing and Ambient Intelligence

Print ISBN: 978-3-319-67584-8

Electronic ISBN: 978-3-319-67585-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-67585-5_23

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