A Reliable Communication Framework for UAV Swarm Networks

Unmanned aerial vehicle (UAV) swarms are used in many industries, but reliable communication with ground control is crucial to prevent accidents. Since UAVs operate in changing environments, predicting and maintaining communication reliability is challenging. This study proposes a machine learning-based framework to improve communication stability. It includes signal quality modeling, AI-powered reliability prediction, and a failure mitigation scheme using UAV and ground control rebroadcasting. The approach successfully maintains over 99.9% reliability in simulations, ensuring safer UAV swarm operations under various conditions. These findings help improve UAV network performance and prevent communication failures in real-world scenarios.