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Abstract

VANETs are highly attractive and isused in maximum of the applications of cross-regional communication. To increase the coverage of the vehicular network, Unmanned Arial Vehicles (UAVs) are introduced, and they getconnected with the satellite networks to perform heterogeneous communication. With the help of this connectivity,the communication quality of ground level to air medium is increased.Currently the vehicle usage is highly increased and as aresults of communication link failure, improper resource allocation are arises whither abruptly assumesa stability about a network with that increasesan energy consumption and communication delay in the heterogeneous networks. In these conditions, thus study is idea of Resource Allocation and Edge Computing for DualHop Communication(RAEDH) in introduced in satellite assisted UAVs enabled VANETs. Themajor sections of the approach are UAV assisted mobile computing, resource allocation among the vehicles and the UAVs, and dual communication among the vehicles and the UAVs.Through these methods the input resources are properly allocated and that reducesthe power utility and communication delay. Initially, the vehicular network is established, incorporating trusted components like TA, RSU, and CRS.Subsequently, mobile edge computing reduces energy consumption through computation offloading and optimizedUAV trajectory selection. Resource allocation, facilitated by whale optimization, ensures effective utilization across vehicles. The implementation of this method is done in NS3, and the scenario is analyzed using two parameters like number of vehicles and its speed. The output parameters that remain thought-out over a performanceexamination stay throughput, end-to-enddelay, energy efficiency, packet loss, packet delivery ratio, androuting overhead,and as well those results are compared with the earlier methods.Finally, dual-hop transmission between vehicles and UAVs enhances delivery ratio and throughput. From the results and discussion, it hasbeen proventhat the proposed RAEDH-SAVs attained maximum results in terms of energy efficiency, delivery ratio,and throughput.

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