3-D Deployment Optimization of UAVs Based on Particle Swarm Algorithm

In emergencies, rapid and flexible deployment of UAV is an effective method to provide timely and reliable communication. How to optimize the coverage performance of UAV is an important research topic of UAV communication. In this paper, the coverage probability is adopted as an evaluation index to find the 3-D position of UAVs by particle swarm optimization (PSO), which can maximize the coverage probability of UAVs and achieve the optimization purpose. The simulation results show that the particle swarm algorithm has stable performance and fast convergence speed, which is an effective method for UAV deployment optimization.

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