Evaluation of crowdsourcing Wi-Fi radio map creation in a real scenario for AAL applications

Belmonte-Fernandez, Oscar, Gasco-Compte, Arturo, Sansano-Sansano, Emilio, Quinde, Mario, Gimenez Manuel, Jose Gines and Augusto, Juan Carlos (2019) Evaluation of crowdsourcing Wi-Fi radio map creation in a real scenario for AAL applications. In: 15th International Conference on Intelligent Environments, 24-27 Jun 2019, Rabat, Morocco. (Accepted/In press)

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Abstract

Indoor location at room level plays a key role for providing useful services for Ambient Assisted Living (AAL) applications. Wi-Fi fingerprinting indoor location methods are extensively used due to the widespread availability of WiFi infrastructures. A main drawback of Wi-Fi fingerprinting methods is the temporal cost involved in creating the radio maps. Crowdsourcing strategies have been presented as a way to minimize the cost of radio map creation. In this work, we present an extensive study of the issues involved when using crowdsourcing strategies for that purpose. Results provided by extensive experiments performed in a real scenario by three users during two weeks are presented. The main conclusions are: i) crowdsourcing data improves accuracy location in most studied cases; ii) accuracy of Wi-Fi fingerprinting methods decay along time; iii) device diversity is an important issue even when using the same device model.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 26554
Notes on copyright: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Juan Augusto
Date Deposited: 09 May 2019 13:17
Last Modified: 01 Jul 2019 14:34
URI: https://eprints.mdx.ac.uk/id/eprint/26554

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