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Title: Fuzzy-Based Forest Fire Prevention and Detection by Wireless Sensor Networks
Authors: Toledo-Castro, Josué
Santos-González, Iván
Caballero-Gil, Pino
Hernández-Goya, Candelaria
Rodríguez-Pérez, Nayra
Aguasca-Colomo, Ricardo 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Forest fires
Lamport’s signature
Internet of Things
Fuzzy logic
Real time
Issue Date: 2019
Journal: Advances in Intelligent Systems and Computing 
Conference: International Joint Conference: 13th International Conference on Soft Computing Models, SOCO 2018, 11th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2018 and 9th International Conference on EUropean Transnational Education, ICEUTE 2018 
Abstract: Forest fires may cause considerable damages both in ecosystems and lives. This proposal describes the application of Internet of Things and wireless sensor networks jointly with multi-hop routing through a real time and dynamic monitoring system for forest fire prevention. It is based on gathering and analyzing information related to meteorological conditions, concentrations of polluting gases and oxygen level around particular interesting forest areas. Unusual measurements of these environmental variables may help to prevent wildfire incidents and make their detection more efficient. A forest fire risk controller based on fuzzy logic has been implemented in order to activate environmental risk alerts through a Web service and a mobile application. For this purpose, security mechanisms have been proposed for ensuring integrity and confidentiality in the transmission of measured environmental information. Lamport’s signature and a block cipher algorithm are used to achieve this objective.
ISBN: 9783319941196
ISSN: 2194-5357
DOI: 10.1007/978-3-319-94120-2_46
Source: Advances in Intelligent Systems and Computing[ISSN 2194-5357],v. 771, p. 478-488
Appears in Collections:Actas de congresos
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