IRO Journal on Sustainable Wireless Systems
IRO Journals
Volume 5 — Issue 2 — June 2023

Smart WSN-based System for Forest Fire Detection with Reduced False Alarms

https://doi.org/10.36548/jsws.2023.2.004
Ferdaous Abdessemed
LAMIE laboratory, Computer science department, University of Batna2, 05000
Souheila Bouam
LAMIE laboratory, Computer science department, University of Batna2, 05000
Chafik Arar
LAMIE laboratory, Computer science department, University of Batna2, 05000
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How to Cite

Abdessemed, Ferdaous, Souheila Bouam, and Chafik Arar. 2023. “Smart WSN-Based System for Forest Fire Detection With Reduced False Alarms”. IRO Journal on Sustainable Wireless Systems 5 (2): 121-37. https://doi.org/10.36548/jsws.2023.2.004.
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Keywords

— Wireless sensor networks
— False alarms
— Fire detection
— Real-Time system
Published: 21-06-2023

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.

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