A review on early forest fire detection using IoT-enabled WSN

Amira Sai̇ri̇, Said Labed, Badreddine Miles, Akram Kout
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Abstract

Forest fires start in natural settings such as forests and spread unchecked, destroying millions of hectares of land worldwide and causing economic and environmental destruction in addition to human deaths. Traditional techniques of forest fire surveillance and detection include personnel to monitor the environment, which can be unsafe and costly in terms of the human resources required. In this field, to reduce such losses, technology that can detect any fire hazard in real time is required. Many techniques are used, like the Internet of Things (IoT), wireless sensor networks (WSN) and drone systems. This article provides a thorough examination of the various indications used to identify and detect forest fires. Also included are the communication protocols employed, as well as the various artificial intelligence techniques. Furthermore, this study summarizes a review conducted to identify directions and research issues in forest fire control and discusses the benefits and drawbacks of this strategy in order to aid in future studies aimed at the creation of early-warning systems for fire detection.
基于物联网的WSN早期森林火灾探测技术综述
森林火灾发生在森林等自然环境中,蔓延不受控制,在世界范围内摧毁了数百万公顷的土地,除了造成人类死亡外,还造成经济和环境破坏。森林火灾监视和探测的传统技术包括人员监测环境,就所需的人力资源而言,这可能是不安全且昂贵的。在这一领域,为了减少此类损失,需要能够实时检测任何火灾隐患的技术。使用了许多技术,如物联网(IoT)、无线传感器网络(WSN)和无人机系统。本文提供了用于识别和探测森林火灾的各种迹象的全面检查。还包括所采用的通信协议,以及各种人工智能技术。此外,本研究总结了为确定森林火灾控制的方向和研究问题而进行的审查,并讨论了这一战略的利弊,以帮助未来旨在建立火灾探测预警系统的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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