Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/23627
Título: Study on an indoor positioning system for harsh environments based on Wi-Fi and Bluetooth low energy
Autores/as: de Blasio, Gabriel 
Quesada-Arencibia, Alexis 
García, Carmelo R. 
Molina-Gil, Jezabel Miriam
Caballero-Gil, Cándido
Clasificación UNESCO: 120304 Inteligencia artificial
3327 Tecnología de los sistemas de transporte
Palabras clave: Indoor positioning system
Ubiquitous computing
Intelligent transport system
WLAN
BLE
Fecha de publicación: 2017
Publicación seriada: Sensors 
Resumen: This paper presents a study of positioning system that provides advanced information services based on Wi-Fi and Bluetooth Low Energy (BLE) technologies. It uses Wi-Fi for rough positioning and BLE for fine positioning. It is designed for use in public transportation system stations and terminals where the conditions are “hostile” or unfavourable due to signal noise produced by the continuous movement of passengers and buses, data collection conducted in the constant presence thereof, multipath fading, non-line of sight (NLOS) conditions, the fact that part of the wireless communication infrastructure has already been deployed and positioned in a way that may not be optimal for positioning purposes, variable humidity conditions, etc.
URI: http://hdl.handle.net/10553/23627
ISSN: 1424-8220
DOI: 10.3390/s17061299
Fuente: Sensors (Switzerland) [ISSN 1424-8220], v. 17 (6), (1299)
Derechos: by-nc-nd
Colección:Artículos
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