Improving UAV Path Planning Energy Efficiency via Taylor Expansion and Iterative Optimization
Yuntian Gao, Nan Bao, Zhaowei Zhang, Xixia Sun, Siguang Chen, Su Pan · 2025
As the adoption of unmanned intelligent devices becomes more prevalent, Unmanned Aerial Vehicles (UAVs) have garnered considerable interest. Serving as aerial base stations, UAVs are capable of providing critical services in scenarios such as disaster relief and large-scale event management. Despite their potential, UAVs face obstacles such as energy constraints and communication bandwidth limitations. To tackle these challenges, this paper introduces an optimization model for energy efficiency that aims to find the best possible solution by employing formula expansion and iterative refinement techniques, focusing on optimizing communication scheduling, UAV flight paths, and transmission power. The simulation results indicate that the proposed approach can significantly decrease the energy expenditure of UAVs and improve their energy efficiency.