Optimization of Communication Link Configuration in UAV Swarms Using Heuristic Algorithms

With the growing use of UAV swarms in tasks such as environmental monitoring and emergency communication, improving communication efficiency and network stability in complex scenarios has become increasingly important. This paper proposes a link optimization method based on Particle Swarm Optimization (PSO) to enhance UAV swarm communication. A NetLogo-Python simulation framework is developed for modeling and algorithm verification. Experimental results show that the method achieves noticeable reductions in end-to-end delay and energy consumption. Sensitivity analysis further indicates that moderate increases in relay and total node counts improve performance, confirming the method's feasibility and applicability in UAV networks.