Abstract
Numerous Hectares of Land Are Destroyed by Wildfires Every Year, Causing Harm to the Environment, the Economy, and the Ecology. More Than Fifty Million Acres Have Burned in Several States as a Result of Recent Forest Fires in the Western United States and Australia. According to Scientific Predictions, as the Climate Warms and Dries, Wildfires Will Become More Intense and Frequent, as Well as More Dangerous. These Unavoidable Catastrophes Emphasize How Important Early Wildfire Detection and Prevention Are. the Energy Management System Described in This Paper Uses an Unmanned Aircraft System (UAS) with Air Quality Sensors (AQSs) to Monitor Spot Fires Before They Spread. the Goal Was to Develop an Efficient Autonomous Patrolling System that Detects Early Wildfires While Maximizing the Battery Life of the UAS to Cover Broad Areas. the UAS Will Send Real-Time Data (Sensor Readings, Thermal Imaging, Etc.) to a Nearby Base Station (BS) When a Wildfire is Discovered. an Optimization Model Was Developed to Minimize the Total Amount of Energy Used by the UAS While Maintaining the Required Levels of Data Quality. Finally, the Simulations Showed the Performance of the Proposed Solution under Different Stability Conditions and for Different Minimum Data Rate Types.
Recommended Citation
D. Rjoub et al., "Unmanned-Aircraft-System-Assisted Early Wildfire Detection with Air Quality Sensors †," Electronics (Switzerland), vol. 12, no. 5, article no. 1239, MDPI, Mar 2023.
The definitive version is available at https://doi.org/10.3390/electronics12051239
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Air Quality Sensors; Optimization; Unmanned Aircraft System
International Standard Serial Number (ISSN)
2079-9292
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2023 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Mar 2023
