Affiliation:
1. Department of Computer Engineering and Systems, University of La Laguna, 38206 Tenerife, Spain
2. Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, University of Las Palmas de Gran Canaria, 35017 Gran Canaria, Spain
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.
Funder
Centre for the Development of Industrial Technology
Subject
Multidisciplinary,General Computer Science
Cited by
29 articles.
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1. Wildfire risk weighting and behaviour prediction using open geospatial data and ontologies;Journal of Information Science;2023-10-31
2. IoT based Forest Fire Detection and Protection System;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23
3. A survey on event detection approaches for sensor based IoT;Internet of Things;2023-07
4. Aerial Deployment of Novel Gravity-Assisted Ground Penetrating Sensors using Nature-Inspired Platform;2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM);2023-06-28
5. Green IoT Framework for Deep Forest Surveillance;2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2023-05-25