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2019 | OriginalPaper | Chapter

Fuzzy-Based Forest Fire Prevention and Detection by Wireless Sensor Networks

Authors : Josué Toledo-Castro, Iván Santos-González, Pino Caballero-Gil, Candelaria Hernández-Goya, Nayra Rodríguez-Pérez, Ricardo Aguasca-Colomo

Published in: International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

Publisher: Springer International Publishing

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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.

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Metadata
Title
Fuzzy-Based Forest Fire Prevention and Detection by Wireless Sensor Networks
Authors
Josué Toledo-Castro
Iván Santos-González
Pino Caballero-Gil
Candelaria Hernández-Goya
Nayra Rodríguez-Pérez
Ricardo Aguasca-Colomo
Copyright Year
2019
Book
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18

Print ISBN: 978-3-319-94119-6

Electronic ISBN: 978-3-319-94120-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-94120-2_46

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