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Author Toledo-Castro, Josué ♦ Caballero-Gil, Pino ♦ Rodríguez-Pérez, Nayra ♦ Santos-González, Iván ♦ Hernández-Goya, Candelaria ♦ Aguasca-Colomo, Ricardo ♦ {"id":"U43912197","contrib_type":"Guest Editor","orcid":"http://orcid.org/0000-0003-2217-8005","surname":"Schumann","given-names":"Andrew"}
Source Hindawi
Content type Text
Publisher Hindawi
File Format PDF
Copyright Year ©2018
Language English
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.
ISSN 10762787
Learning Resource Type Article
Publisher Date 2018-12-02
Rights License This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
e-ISSN 10990526
Journal Complexity
Volume Number 2018
Page Count 17


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