BEE Optimization-Based Model for Reliable with Resource Allocation in UAV Guided Vehicular Communication

A UAV is an aircraft that functions without a human pilot on board, being controlled either remotely or autonomously. These vehicles are used for various applications, including surveillance, aerial photography, mapping, and package delivery. UAVs come in a range of sizes and configurations, from small consumer drones to large military reconnaissance aircraft. A proposed BEERA approach integrates UAV assistance with vehicular networks to enhance communication efficiency and stability. Utilizing visible light communication (VLC) enabled onboard units (OBUs), the system optimizes resource allocation using the Artificial Bee Colony algorithm. Through parameter-based resource allocation and trajectory optimization, BEERA improves network stability and reliability by considering factors like distance, time interval, and velocity. Simulation findings indicate that the Proposed MTAGAs protocol surpasses current methods in multiple metrics. The findings highlight the effectiveness of BEERA in addressing challenges and enhancing communication systems in UAV-assisted vehicular networks.