A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities

The threat posed by wildfires or bushfires has become a severe global issue due to the increase in human activities in forested areas and the impact of climate change. Consequently, there is a surge in the development of automatic wildfire detection methods. Approaches based on long-distance imagery...

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Main Authors: Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani, Nicholas Wilson, Marta Yebra
Format: Article
Jezik:English
Izdano: IEEE 2024-01-01
Serija:IEEE Access
Teme:
Online dostop:https://ieeexplore.ieee.org/document/10756651/
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author Chiu Chun Chan
Sheeraz A. Alvi
Xiangyun Zhou
Salman Durrani
Nicholas Wilson
Marta Yebra
author_facet Chiu Chun Chan
Sheeraz A. Alvi
Xiangyun Zhou
Salman Durrani
Nicholas Wilson
Marta Yebra
author_sort Chiu Chun Chan
collection DOAJ
description The threat posed by wildfires or bushfires has become a severe global issue due to the increase in human activities in forested areas and the impact of climate change. Consequently, there is a surge in the development of automatic wildfire detection methods. Approaches based on long-distance imagery from satellites or watchtowers encounter limitations, such as restricted visibility, which results in delayed response times. To address and overcome these challenges, research interest has grown in the implementation of ground-based Internet of Things (IoT) sensing systems for early wildfire detection. However, research on energy consumption, detection latency, and detection accuracy of IoT sensing systems, as well as the performance of various anomaly detection algorithms when evaluated using these metrics, is lacking. Therefore, in this article, we present an overview of current IoT ground sensing systems for early wildfire detection. Camera and environmental sensing technologies suitable for early wildfire detection are discussed, as well as vision-based detection algorithms and detection algorithms for environmental sensing. Challenges related to the development and implementation of IoT ground sensing systems for early wildfire detection together with suggestions for creating a robust detection system to combat the growing threat of wildfires worldwide are discussed.
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spelling doaj.art-dbf36a74a8954834a23b159bae208b5c2024-11-23T00:01:08ZengIEEEIEEE Access2169-35362024-01-011217278517281910.1109/ACCESS.2024.350133610756651A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and OpportunitiesChiu Chun Chan0https://orcid.org/0000-0002-2566-3754Sheeraz A. Alvi1https://orcid.org/0000-0003-3589-1504Xiangyun Zhou2https://orcid.org/0000-0001-8973-9079Salman Durrani3https://orcid.org/0000-0002-7124-282XNicholas Wilson4https://orcid.org/0000-0002-3813-5950Marta Yebra5https://orcid.org/0000-0002-4049-9315School of Engineering, The Australian National University, Canberra, ACT, AustraliaSchool of Engineering, The Australian National University, Canberra, ACT, AustraliaSchool of Engineering, The Australian National University, Canberra, ACT, AustraliaSchool of Engineering, The Australian National University, Canberra, ACT, AustraliaBushfire Research Centre of Excellence, The Australian National University, Canberra, ACT, AustraliaSchool of Engineering, The Australian National University, Canberra, ACT, AustraliaThe threat posed by wildfires or bushfires has become a severe global issue due to the increase in human activities in forested areas and the impact of climate change. Consequently, there is a surge in the development of automatic wildfire detection methods. Approaches based on long-distance imagery from satellites or watchtowers encounter limitations, such as restricted visibility, which results in delayed response times. To address and overcome these challenges, research interest has grown in the implementation of ground-based Internet of Things (IoT) sensing systems for early wildfire detection. However, research on energy consumption, detection latency, and detection accuracy of IoT sensing systems, as well as the performance of various anomaly detection algorithms when evaluated using these metrics, is lacking. Therefore, in this article, we present an overview of current IoT ground sensing systems for early wildfire detection. Camera and environmental sensing technologies suitable for early wildfire detection are discussed, as well as vision-based detection algorithms and detection algorithms for environmental sensing. Challenges related to the development and implementation of IoT ground sensing systems for early wildfire detection together with suggestions for creating a robust detection system to combat the growing threat of wildfires worldwide are discussed.https://ieeexplore.ieee.org/document/10756651/Bushfireearly fire detectionforest fireInternet of Things (IoT)sensingwildfire
spellingShingle Chiu Chun Chan
Sheeraz A. Alvi
Xiangyun Zhou
Salman Durrani
Nicholas Wilson
Marta Yebra
A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities
IEEE Access
Bushfire
early fire detection
forest fire
Internet of Things (IoT)
sensing
wildfire
title A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities
title_full A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities
title_fullStr A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities
title_full_unstemmed A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities
title_short A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities
title_sort survey on iot ground sensing systems for early wildfire detection technologies challenges and opportunities
topic Bushfire
early fire detection
forest fire
Internet of Things (IoT)
sensing
wildfire
url https://ieeexplore.ieee.org/document/10756651/
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