A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges and Opportunities
Chiu Chun Chan, Sheeraz A. Alvi, Xiangyun Zhou, Salman Durrani,, Nicholas Wilson, Marta Yebra

TL;DR
This survey reviews IoT ground sensing systems for early wildfire detection, discussing technologies, challenges, and future research directions to improve detection speed, accuracy, and energy efficiency.
Contribution
It provides a comprehensive overview of current IoT-based wildfire detection systems, highlighting existing technologies, challenges, and potential research opportunities.
Findings
Cameras and environmental sensors are key for early detection.
Detection algorithms vary in accuracy and latency.
Energy consumption remains a significant challenge.
Abstract
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…
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Taxonomy
TopicsFire effects on ecosystems · Fire Detection and Safety Systems · Landslides and related hazards
