The Role of UAV-IoT Networks in Future Wildfire Detection
Osama M. Bushnaq, Anas Chaaban, Tareq Y. Al-Naffouri

TL;DR
This paper proposes a UAV-IoT network-based wildfire detection system that optimizes device density and UAV deployment to enhance early detection speed and reliability, outperforming satellite methods under sufficient budgets.
Contribution
It introduces a novel UAV-IoT wildfire detection framework with an optimization guideline for network parameters to maximize detection probability within limited resources.
Findings
UAV-IoT networks can detect wildfires faster than satellites with adequate budgets.
Optimized IoT device density and UAV deployment improve detection reliability.
The proposed method accounts for practical IoT limitations like false alarms.
Abstract
The challenge of wildfire management and detection is recently gaining increased attention due to the increased severity and frequency of wildfires worldwide. Popular fire detection techniques such as satellite imaging and remote camera-based sensing suffer from late detection and low reliability while early wildfire detection is a key to prevent massive fires. In this paper, we propose a novel wildfire detection solution based on unmanned aerial vehicles assisted Internet of things (UAV-IoT) networks. The main objective is to (1) study the performance and reliability of the UAV-IoT networks for wildfire detection and (2) present a guideline to optimize the UAV-IoT network to improve fire detection probability under limited budgets. We focus on optimizing the IoT devices' density and number of UAVs covering the forest area such that a lower bound of the wildfires detection probability…
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