Self-Organizing Communication Network Technology of UAV for Power Inspection based on Multi-Model Optimization Strateg

UAV swarm systems can address complex task environments through node collaboration. However, with limited node energy and uneven distribution of data transmission demands across service areas, optimizing energy usage and communication coverage is essential. This paper proposes a multi-model optimization-based self-organizing communication networking technology for UAVs. Firstly, the three-dimensional deployment of UAV communication nodes is examined, and a UAV communication network model is established, highlighting the design challenges centered around energy efficiency and coverage. Subsequently, a particle swarm optimization (PSO) algorithm is employed to solve the nonlinear programming problem, leading to the identification of the optimal solution. Finally, simulation results demonstrate that the proposed method not only enhances the capability and coverage of the UAV system but also reduces the overall power consumption of the UAV swarm.