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Trust Management Scheme-Based Intelligent Communication for UAV-Assisted VANETs

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Evolution in Computational Intelligence (FICTA 2023)

Abstract

Vehicular Ad hoc Network (VANET) is serving for various applications of Intelligent Transmission System (ITS) where vehicle can easily able to communicate to other vehicles and to the infrastructure in an independent manner. Several problems are identified in VANETs due to highly dynamic mobility patterns. They are attackers which can easily able to capture in network, and huge obstacles are present in the ground level, connectivity loss, and so on. In order to save the vehicles from the ground-level obstacle, Unmanned Aerial Vehicles (UAVs) are introduced in vehicular communication that collects the data from the vehicle in air medium so that it can get escape from the obstacles in the ground level. In this paper, to secure the network from attackers, Trust Management Scheme (TMS) is proposed in UAV-Assisted VANETs (UAVs). Through this method, trust evaluation is performed in both the communication modules of VANETs such as vehicle-to-vehicle data transmission and vehicle-to-UAVs’ data transmission which greatly helps to secure the network from the external threads. The proposed TMS-UAVs’ protocol has been validated using NS2 and SUMO. The simulation is performed and the results are compared with the earlier works such as ES-UAVs and PRO-UAVs. The simulation results of the proposed TMS-UAVs’ protocol confirm encouraging performance in terms of higher packet delivery ratio, lower end-to-end delay, lower average number of hops, and lower overhead.

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Correspondence to Sameer Alani .

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Alani, S., Qader, A.A., Al-Tahai, M., Mansour, H.S., AL-Hameed, M.R., Mahmood, S.N. (2023). Trust Management Scheme-Based Intelligent Communication for UAV-Assisted VANETs. In: Bhateja, V., Yang, XS., Ferreira, M.C., Sengar, S.S., Travieso-Gonzalez, C.M. (eds) Evolution in Computational Intelligence. FICTA 2023. Smart Innovation, Systems and Technologies, vol 370. Springer, Singapore. https://doi.org/10.1007/978-981-99-6702-5_35

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