Futuristic Network Model with Efficient Multicast Adaptive Routing in UAVs based Vehicular Communication

Vehicular communication affects road safety, traffic management, and entertainment, improving intelligent communication systems. Due to their unpredictable motion and rapid speed, vehicles experience frequent topological changes that impair performance. In vehicular communication, Unmanned Aerial cars (UAVs) drive vehicles adaptively to solve that problem. The increasing number of cars requires better routing and network development to maximize performance. For that purpose, in this article a futuristic network model with efficient multicast adaptive routing (FNEAR-UAV) is developed. The major categories which are present in this proposed FNEAR-UAV are efficient UAV pairing process, efficient multicast adaptive routing and data forwarding processes and their performance analysis. The ns2 simulator is used to test this proposed FNEAR-UAV's energy efficiency, packet delivery ratio, and routing overhead. The outcome analysis shows that the suggested technique outperformed the baseline methodology in energy efficiency and routing.