Nature-Inspired Drone Swarming for Wildfires Suppression Considering Distributed Fire Spots and Energy Consumption

• Main Authors: Alsammak I.L.H., Mahmoud M.A., Gunasekaran S.S., Ahmed A.N., Alkilabi M.
• Other Authors: 57220190775
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: Random walk algorithm; stigmergy; swarm intelligence; UAVs; wildfires suppression; Agricultural robots; Antennas; Drones; Energy utilization; Fires; High resolution transmission electron microscopy; Intelligent robots; Job analysis; Losses; Numerical methods; Particle swarm optimization (PSO); Random processes; Swarm intelligence; Aerial vehicle; Classification algorithm; Particle swarm; Particle swarm optimization; Random walk algorithms; Stigmergy; Swarm optimization; Task analysis; Unmanned aerial vehicle; Wildfire suppression; Forestry

Wildfires are among the biggest problems faced worldwide. They are increasing in severity and frequency, causing economic losses, human death, and significant environmental damage. Environmental factors, such as wind and large forest areas, contribute to the fire spreading over multiple fire spots,...