Distributed Utility Guided Joint Optimization with Quality of Service Enhancement in UAV Communication

Vehicular Ad hoc Networks (VANETs) have garnered significant attention in the last decade, hence becoming a predominant use within intelligent transportation systems (ITS). The rise in vehicle density in the lane adversely impacts vehicular communication, exacerbated by external barriers, resulting in diminished network performance characterized by increased delay, elevated power consumption, and additional overhead. Unmanned aerial vehicles (UAVs) are integrated into VANETS to facilitate obstacle avoidance and enhance communication efficiency. Later on, certain drawbacks are created in the UAV-assisted VANETs network so that further enhancement becomes more essential. Accordingly in this article, Distributed Utility Guided Joint Optimization with Quality of Service Enhancement (DUJOQ-UAV) in UAV-assisted VANETs is developed which mainly concentrates on increasing the communication quality of the UAVs. An efficient system model is created to improve the dependability of the UAVs and the vehicles. The collaborative optimization approach facilitates extremely efficient communication inside the network, hence enhancing its efficacy. The experimental validation of this model is conducted in OMNET++, and the analysis is finalized by evaluating specific parameters, including packet delivery ratio, end-to-end delay, routing overhead, and energy efficiency. The results are also compared with baseline methods such as NEEO-UAV and PLOP-UAV. From the result outcomes and discussion, it gets proven that the DUJOQUAV method achieves a high delivery ratio up to 6% higher than NEEO-UAV, and energy efficiency up to 17% higher than NEEO-UAV, where its superiority is proven in this way.

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