Supervised learning algorithms for indoor localization fingerprinting using BLE4.0 beacons

Jesús Lovón-Melgarejo, Manuel Castillo-Cara, Gusseppe Bravo-Rocca, Luis Orozco-Barbosa, Ismael García-Varea

Research output: Chapter in Book/Report/Conference proceedingPaper (Conference contribution)peer-review

1 Scopus citations

Abstract

The increasing interest on deploying ubiquitous context-based services has spurred the need of developing indoor localization mechanisms. Such systems should take advantage of the large amount of wireless networks and radio interfaces already incorporated in most mobile consumer devices. Among the existing radio interfaces, Bluetooth Low Energy (BLE) 4.0 is called to play a major role in the deployment of energy efficient ubiquitous services. In this paper, we first show that the high sensitivity of BLE4.0 to fast fading makes infeasible the use of radio propagation models to directly estimate the distance between a reference transmitter and the mobile device. We then explore the use of supervised learning algorithms towards the development of radio maps of beacons analysing in-depth two metrics accuracy and mean error. Our approach also explores two main parameters: (i) Transmission power (Tx) of the BLE4.0 beacons; and (ii) Physical characteristics of the area. Based on our results, we argue that the mean error can be improved up to 28% configuring the two main parameters.

Original languageEnglish
Title of host publication2017 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538637340
DOIs
StatePublished - 7 Feb 2018
Externally publishedYes
Event2017 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2017 - Arequipa, Peru
Duration: 8 Nov 201710 Nov 2017

Publication series

Name2017 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2017 - Proceedings
Volume2017-November

Conference

Conference2017 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2017
CountryPeru
CityArequipa
Period8/11/1710/11/17

Keywords

  • Beacon
  • Bluetooth
  • Indoor localization
  • signal processing
  • supervised learning

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