Resource Allocation and Edge Computing for Dual Hop Communication in Satellite Assisted UAVs enabled VANETs




Vehicular ad hoc networks (VANETs), Resource Allocation, Edge Computing, Dual Hop Communication, Satellite Assisted UAVs enabled VANETs


VANETs are highly attractive and is used 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 get connected 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 a results of communication link failure, improper resource allocation are arises whither abruptly assumes a stability about a network with that increases an energy consumption and communication delay in the heterogeneous networks. In these conditions, thus study is idea of Resource Allocation and Edge Computing for Dual Hop Communication (RAEDH) in introduced in satellite assisted UAVs enabled VANETs. The major 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 reduces the 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 optimized UAV 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 performance examination stay throughput, end-to-end delay, energy efficiency, packet loss, packet delivery ratio, and routing 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 has been proven that the proposed RAEDH-SAVs attained maximum results in terms of energy efficiency, delivery ratio, and throughput.


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Author Biography

Ahmed Adil Nafea, University of Anbar

I was born in Al-Anbar, Iraq on October 7, 1995. I received my Master's degree from Universiti Kebangsaan Malaysia,, Malaysia in 2020 under the supervision of Prof. Nazlia Omar. My, master thesis is titled “Adverse Drug Reaction Detection Using Latent Semantic Analysis”. I hold a Bachelor's degree from the University of Anbar, Iraq. My research interest is in the areas of Data Science, Deep Learning, Machine Learning, Natural Language Processing, Artificial Intelligence, Computer Vision, Reinforcement Learning, Data Analysis, Statistical Techniques, Data Preprocessing, Big Data, Data Visualization, and Linear Algebra. I'm one of the top students at the university kebangssan Malaysia. I was awarded the medal of honour and distinction as one of the best students in the world in the top 400 high-ranking international universities of the year 2020 according to the statistics of the Golden Key International Honour Society. I'm one of the top students at the University of Anbar I was ranked (4) out of (51) graduates. I am a reviewer in the journal of computer science - Scopus indexed. I'm Strong programming skills, particularly in the language Python.




How to Cite

M. M. . Hamdi, S. A. . Rashid, and A. A. Nafea, “Resource Allocation and Edge Computing for Dual Hop Communication in Satellite Assisted UAVs enabled VANETs”, Iraqi Journal For Computer Science and Mathematics, vol. 5, no. 3, pp. 108–127, Jun. 2024.
DOI: 10.52866/ ijcsm.2024.05.03.006
Published: 2024-06-13




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