Sensor Deployment and Link Analysis in Satellite IoT Systems for Wildfire Detection
How-Hang Liu, Ronald Y. Chang, Yi-Ying Chen, I-Kang Fu, H. Vincent, Poor

TL;DR
This paper proposes a satellite IoT-based wildfire detection system using ground sensor deployment and analyzes its communication and economic benefits through simulations, aiming to improve early detection and reduce carbon emissions.
Contribution
It introduces an optimal sensor placement strategy and analyzes satellite communication requirements for wildfire detection using NB-IoT technology.
Findings
Optimal sensor placement improves wildfire detection efficiency.
Satellite communication bandwidth requirements are quantified.
Economic benefits of early wildfire detection are demonstrated.
Abstract
Climate change has been identified as one of the most critical threats to human civilization and sustainability. Wildfires, which produce huge amounts of carbon emission, are both drivers and results of climate change. An early and timely wildfire detection system can constrain fires to short and small ones and yield significant carbon reduction. In this paper, we propose to use ground sensor deployment and satellite Internet of Things (IoT) technologies for wildfire detection by taking advantage of satellites' ubiquitous global coverage. We first develop an optimal IoT sensor placement strategy based on fire ignition and detection models. Then, we analyze the uplink satellite communication budget and the bandwidth required for wildfire detection under the narrowband IoT (NB-IoT) radio interface. Finally, we conduct simulations on the California wildfire database and quantify the…
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Taxonomy
TopicsFlood Risk Assessment and Management · Fire Detection and Safety Systems · Fire effects on ecosystems
