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http://hdl.handle.net/10553/23627
Title: | Study on an indoor positioning system for harsh environments based on Wi-Fi and Bluetooth low energy | Authors: | de Blasio, Gabriel Quesada-Arencibia, Alexis García, Carmelo R. Molina-Gil, Jezabel Miriam Caballero-Gil, Cándido |
UNESCO Clasification: | 120304 Inteligencia artificial 3327 Tecnología de los sistemas de transporte |
Keywords: | Indoor positioning system Ubiquitous computing Intelligent transport system WLAN BLE |
Issue Date: | 2017 | Journal: | Sensors | Abstract: | 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 | Source: | Sensors (Switzerland) [ISSN 1424-8220], v. 17 (6), (1299) | Rights: | by-nc-nd |
Appears in Collections: | Artículos |
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