Por favor, use este identificador para citar o enlazar este ítem: https://doi.org/10.1016/j.future.2017.09.022

Título: Practical passive localization system based on wireless signals for fast deployment of occupancy services
Fecha de publicación: 1-jun-2020
Editorial: Elsevier
Cita bibliográfica: Future Generation Computer Systems, Volume 107, June 2020, Pages 692-704
Palabras clave: Passive localization
Wireless
Ocupancy services
Building occupancy
WiFi signals
Passive localization
Heterogeneous devices
Machine learning
Resumen: Occupancy is relevant information about key aspects, such as energy consumption or comfort management. Energy-saving and environmental quality strategies can be carried out in response to real-time facility occupancy. Some relevant solutions to measure and monitor occupancy information leverage radio-based indoor localization systems and employ Received Signal Strength (RSS) as the main source of data for location determination. However, those approaches usually require a previous training and calibration stage that involves a time-consuming and labor intensive site survey process, and which is also readily affected by environmental dynamics. In this paper, we propose a practical passive localization system for fast deployment of occupancy services able to track unmodified and heterogeneous devices after a quick and straightforward training phase. We present an experimental validation of the system that was conducted for 9 months in a lecture building of 6000 square meters with 20 classrooms and 4000 frequent users, where the existing teaching computers themselves were used as monitors to capture 802.11 traffic. In this environment, we test different representations and metrics to process the RSSI information and perform a thorough analysis of some important design parameters, which have a direct impact on both accuracy and time granularity of the localization system.
Autor/es principal/es: López-de-Teruel Alcolea, Pedro Enrique
García Clemente, Félix Jesús
Cánovas Reverte, Óscar
Facultad/Departamentos/Servicios: Facultades, Departamentos, Servicios y Escuelas::Facultades de la UMU::Facultad de Informática
Versión del editor: https://www.sciencedirect.com/science/article/abs/pii/S0167739X17320083?via%3Dihub
URI: http://hdl.handle.net/10201/137776
DOI: https://doi.org/10.1016/j.future.2017.09.022
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 34
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: © 2020. Elsevier Ltd. This document is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc /4.0/ This document is the submitted version of a published work that appeared in final form in Future Generation Computer Systems: The International Journal of eScience.
Aparece en las colecciones:Artículos: Ingeniería y Tecnología de Computadores

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