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IRO Journal on Sustainable Wireless Systems

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Home / Archives / Volume-5 / Issue-2 / Article-4

Volume - 5 | Issue - 2 | june 2023

Smart WSN-based System for Forest Fire Detection with Reduced False Alarms Open Access
Ferdaous Abdessemed  , Souheila Bouam, Chafik Arar  215
Pages: 121-137
Cite this article
Abdessemed, F., Bouam, S. & Arar, C. (2023). Smart WSN-based System for Forest Fire Detection with Reduced False Alarms. IRO Journal on Sustainable Wireless Systems, 5(2), 121-137. doi:10.36548/jsws.2023.2.004
Published
21 June, 2023
Abstract

Every year, huge areas of forests are destroyed by fires, which have a particularly significant effect on forests and nature. To help combat fires, previous monitoring and detection methods rely heavily on human observation, which is not very effective due to the large areas of forest that need to be monitored. To increase efficiency, it is necessary to implement automatic fire detection systems that can quickly detect fires and enable rapid firefighting responses. Recent advances in sensor technology have made it possible to develop more accurate and automated forest fire detection systems. This research discusses a Wireless Sensor Network-based system that could be used for early fire detection. The proposed system has the capability to lower false alarms by 10% compared to the existing systems that solely rely on temperature and smoke sensors for detecting fires.

Keywords

Wireless sensor networks False alarms Fire detection Real-Time system

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