QoS Constraints based Intelligent Resource Allocation for Multi-UAV Assisted Vehicular Networks

Unnamed aerial vehicles (UAVs) based technology are recently developed in a huge manner because of its special characteristics such as small in size, cost effective and highly flexible. To increase the density of the vehicles in recent times, UAVs assistant vehicular networks are develop which consist of effectively localized air base station. At the same time this network consists of certain drawbacks in terms of ineffective resource allocation and quality management. For that purpose in this article Quality of Service (QoS) constraints based intelligent resource allocation is developed in the multi UAVs based vehicular networks (QIRO-MUAVs). The core processes which are present in this model are multi UAV system environment construction and QoS constraints based intelligent resource allocation. This approach improves UAV communication and network connectivity. This model is implemented in ns2 software and focused on packet delivery ratio and energy usage to increase performance. Results are compared to the baseline technique. The final result shows that QIRO-MUAVs deliver faster than other approaches.