Detection of forest fires outbreaks by dynamic fuzzy logic controller

Autor:	Josué Toledo-Castro, Candelaria Hernández-Goya, Nayra Rodríguez-Pérez, Pino Caballero-Gil, Iván Santos-González, Ricardo Aguasca-Colomo
Rok vydání:	2020
Předmět:	Fuzzy logic controller Logic Control theory Computer science 020208 electrical & electronic engineering 0202 electrical engineering electronic engineering information engineering 020207 software engineering 02 engineering and technology
Zdroj:	Logic Journal of the IGPL. 29:936-950
ISSN:	1368-9894 1367-0751
DOI:	10.1093/jigpal/jzaa036
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::98d2e631df538996e9e011da358117f0 https://doi.org/10.1093/jigpal/jzaa036 Zobrazit plný text záznamu