Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/55023
Title: Forest Fire Prevention, Detection, and Fighting Based on Fuzzy Logic and Wireless Sensor Networks
Authors: Toledo-Castro, Josué
Caballero-Gil, Pino
Rodríguez-Pérez, Nayra
Santos-González, Iván
Hernández-Goya, Candelaria
Aguasca-Colomo, Ricardo 
UNESCO Clasification: 3308 Ingeniería y tecnología del medio ambiente
Keywords: Artificial intelligence
Probabilistic reasoning
Issue Date: 2018
Publisher: 1076-2787
Journal: Complexity 
Abstract: Huge losses and serious threats to ecosystems are common consequences of forest fires. This work describes a forest fire controller based on fuzzy logic and decision-making methods aiming at enhancing forest fire prevention, detection, and fighting systems. In the proposal, the environmental monitoring of several dynamic risk factors is performed with wireless sensor networks and analysed with the proposed fuzzy-based controller. With respect to this, meteorological variables, polluting gases and the oxygen level are measured in real time to estimate the existence of forest fire risks in the short-term and to detect the recent occurrence of fire outbreaks over different forest areas. Besides, the Analytic Hierarchy Process method is used to determine the level of fire spread, and, when necessary, environmental alerts are sent by a Web service and received by a mobile application. For this purpose, integrity, confidentiality, and authenticity of environmental information and alerts are protected with implementations of Lamport's authentication scheme, Diffie-Lamport signature, and AES-CBC block cipher.
URI: http://hdl.handle.net/10553/55023
ISSN: 1076-2787
DOI: 10.1155/2018/1639715
Source: Complexity[ISSN 1076-2787],v. 2018 (1639715)
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