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A Wildfire Prediction Based on Fuzzy Inference System for Wireless Sensor Networks

 

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Author: González Gasull, Virginia
Larios Marín, Diego Francisco
Barbancho Concejero, Julio
León de Mora, Carlos
Obaidat, M.S.
Department: Universidad de Sevilla. Departamento de Tecnología Electrónica
Date: 2011
Published in: ICETE 2011: International Joint Conference on E-Business and Telecommunications (2011), p 43-59
ISBN/ISSN: 978-3-642-35754-1
1865-0929
Document type: Presentation
Abstract: The study of forest fires has been traditionally considered as an important application due to the inherent danger that this entails. This phenomenon takes place in hostile regions of difficult access and large areas. Introduction of new technologies such as Wireless Sensor Networks (WSNs) has allowed us to monitor such areas. In this paper, an intelligent system for fire prediction based on wireless sensor networks is presented. This system obtains the probability of fire and fire behavior in a particular area. This information allows firefighters to obtain escape paths and determine strategies to fight the fire. A firefighter can access this information with a portable device on every node of the network. The system has been evaluated by simulation analysis and its implementation is being done in a real environment.
Cite: González Gasull, V., Larios Marín, D.F., Barbancho Concejero, J., León de Mora, C. y Obaidat, M.S. (2011). A Wildfire Prediction Based on Fuzzy Inference System for Wireless Sensor Networks. En ICETE 2011: International Joint Conference on E-Business and Telecommunications (43-59), Sevilla, España: Springer.
Size: 1.488Mb
Format: PDF

URI: https://hdl.handle.net/11441/77009

DOI: 10.1007%2F978-3-642-35755-8_4

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