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All Journal Bulletin of Electrical Engineering and Informatics
Brahim Lejdel
University of El-Oued
Electrical & Electronics Engineering

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Bluetooth beacons based indoor positioning in a shopping malls using machine learning Kamel Maaloul; Brahim Lejdel; Eliseo Clementini; Nedioui Med Abdelhamid
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4200

Abstract

The adoption of Bluetooth beacon technology demonstrates a broad interest in indoor positioning technology because of its low cost and ease of use. Bluetooth beacons usually have an accuracy of fewer than 4 meters. The use of machine learning (ML) leads to results with greater accuracy compared to using traditional filtering methods. In this paper, we provide indoor localization based on Bluetooth beacons using several different ML techniques. We used ML algorithms to locate customers' devices in shopping malls. The extra-trees classifier and k-neighbors classifier found the device with greater than 90% accuracy. Other algorithms were able to determine the location with less accuracy. The results also showed that Bluetooth technology is a valid solution to find the data used to analyze the spatial-temporal behavior of individuals.
Co-Authors Eliseo Clementini Kamel Maaloul Nedioui Med Abdelhamid