Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms

Lovón Melgarejo, Jesús, Castillo Cara, Manuel, Huarcaya Canal, Oscar, Orozco Barbos, Luis y García Varea, Ismael . (2019) Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms. IEEE Access ( Volume: 7); 26123 - 26135

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Título Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms
Autor(es) Lovón Melgarejo, Jesús
Castillo Cara, Manuel
Huarcaya Canal, Oscar
Orozco Barbos, Luis
García Varea, Ismael
Materia(s) Informática
Abstract The development of the Internet of Things (IoT) benefits from 1) the connections between devices equipped with multiple sensors; 2) wireless networks and; 3) processing and analysis of the gathered data. The growing interest in the use of IoT technologies has led to the development of numerous diverse applications, many of which are based on the knowledge of the end user's location and profile. This paper investigates the characterization of Bluetooth signals behavior using 12 different supervised learning algorithms as a first step toward the development of fingerprint-based localization mechanisms. We then explore the use of metaheuristics to determine the best radio power transmission setting evaluated in terms of accuracy and mean error of the localization mechanism. We further tune-up the supervised algorithm hyperparameters. A comparative evaluation of the 12 supervised learning and two metaheuristics algorithms under two different system parameter settings provide valuable insights into the use and capabilities of the various algorithms on the development of indoor localization mechanisms.
Palabras clave Indoor positioning
fingerprinting
Bluetooth
classification model
signal processing
received signal strength indication
multipath fading
transmission power
benchmark
metaheuristic optimization algorithms
Editor(es) Institute of Electrical and Electronics Engineers
Fecha 2019-02-15
Formato application/pdf
Identificador bibliuned:95-Jmcastillo-0001
http://e-spacio.uned.es/fez/view/bibliuned:95-Jmcastillo-0001
DOI - identifier https://doi.org/10.1109/ACCESS.2019.2899736
ISSN - identifier 2169-3536
Nombre de la revista IEEE Access
Número de Volumen 7
Página inicial 26123
Página final 26135
Publicado en la Revista IEEE Access ( Volume: 7); 26123 - 26135
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in "IEEE Access ( Volume:7); 26123-26135", is available online at the publisher's website: https://doi.org/10.1109/ACCESS.2019.2899736
Notas adicionales La versión registrada de este artículo, publicado por primera vez en "IEEE Access (Volume:7); 26123 - 26135", está disponible en línea en el sitio web del editor: https://doi.org/10.1109/ACCESS.2019.2899736

 
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Creado: Wed, 17 Jan 2024, 23:47:00 CET