Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77793
Title: Detection of forest fires outbreaks by dynamic fuzzy logic controller
Authors: Toledo-Castro, Josué
Rodríguez-Pérez, Nayra
Caballero-Gil, Pino
Santos-González, Iván
Hernández-Goya, Candelaria
Aguasca Colomo, Ricardo 
UNESCO Clasification: 3106 Ciencia forestal
1299 otras especialidades matemáticas (especificar)
Investigación
Keywords: Incendios forestales
Internet de las cosas(IoT)
Lógica Difusa
Redes de sensores(WSN)
Issue Date: 2020
Journal: Logic Journal of the IGPL 
Abstract: The use of wireless sensor networks (WSNs) and the Internet of things to detect forest fire outbreaks may help to reduce the response time and avoid natural disasters. This work proposes the deployment of WSN to enhance the real-time monitoring of dynamic variables such as polluting gases, temperature or the presence of fire flames by infrared. In addition, the activation of forest fire alerts if environmental status may involve evidence of a recent fire outbreak. A fuzzy-based controller is implemented to manage the uncertainty related to estimating forest fire occurrence and dynamic update of fuzzy sets is developed to distinguish usual and unusual environmental conditions of every monitored forest area. Merkle trees, AES and hash functions are considered to protect the integrity of environmental data.
URI: http://hdl.handle.net/10553/77793
ISSN: 1367-0751
DOI: 10.1093/jigpal/jzaa036
Source: Logic Journal of the IGPL [ISSN 1367-0751], 12 septiembre 2020
Appears in Collections:Artículo preliminar
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