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Collaborative Smartphone-Based User Positioning in a Multiple-User Context Using Wireless Technologies

Ta, Viet Cuong and Dao, Trung Kien and Vaufreydaz, Dominique and Castelli, Eric (2020) Collaborative Smartphone-Based User Positioning in a Multiple-User Context Using Wireless Technologies. Sensors, 20 (2). ISSN 1424-8220

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Abstract

For the localization of multiple users, Bluetooth data from the smartphone is able to complement Wi‐Fi‐based methods with additional information, by providing an approximation of the relative distances between users. In practice, both positions provided by Wi‐Fi data and relative distance provided by Bluetooth data are subject to a certain degree of noise due to the uncertainty of radio propagation in complex indoor environments. In this study, we propose and evaluate two approaches, namely Non‐temporal and Temporal ones, of collaborative positioning to combine these two cohabiting technologies to improve the tracking performance. In the Non‐temporal approach, our model establishes an error observation function in a specific interval of the Bluetooth and Wi‐Fi output. It is then able to reduce the positioning error by looking for ways to minimize the error function. The Temporal approach employs an extended error model that takes into account the time component between users’ movements. For performance evaluation, several multi‐user scenarios in an indoor environment are set up. Results show that for certain scenarios, the proposed approaches attain over 40% of improvement in terms of average accuracy

Item Type: Article
Subjects: Information Technology (IT)
ISI-indexed journals
Divisions: Faculty of Information Technology (FIT)
Depositing User: Cuong Ta Viet
Date Deposited: 31 Jan 2020 08:01
Last Modified: 31 Jan 2020 08:01
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3923

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