Enhancing UAV Communication Through Novel Algorithm Integration

This paper introduces an enhanced communication strategy for Unmanned Aerial Vehicles (UAVs) interfacing with Ground Base Stations (GBS). Addressing the challenge of robust UAV-GBS links, we analyze optimal node associations for UAVs, ranging from direct GBS connections to UAV-relayed communications. Utilizing MATLAB simulations, three scenarios were evaluated: 1) A static UAV with a static GBS, 2) A dynamic UAV with a static GBS, and 3) A dynamic UAV linking with another dynamic UAV as a relay to the GBS. Dijkstra's algorithm, combined with the Free Space Path Loss model, was employed to optimize UAV node selection based on signal strength and proximity. Results demonstrate a marked improvement in UAV communication efficiency across scenarios, with UAVs adeptly selecting the nearest optimal node or relay. Signal-to-noise ratio analysis further validates the method's effectiveness. Our approach significantly enhances UAV network communications, offering a scalable solution for diverse UAV applications.