Citation

Ahmed, Tahir H. and Tiang, Jun Jiat and Mahmud, Azwan and Do, Dinh Thuan and Tran, Truong and Mumtaz, Shahid (2023) V2V Communications Using Blockchain-Enabled 6G Technology and Federated Learning. In: GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 04-08 December 2023, Kuala Lumpur, Malaysia.

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Abstract

This study proposes an interesting approach for vehicle-to-vehicle (V2V) communication, which integrates blockchain technology, federated learning (FL), and allocation optimization of latency and resources. The research evaluates the proposed system using various performance metrics such as packet delivery ratio (PDR), model accuracy, and latency and demonstrates its superiority over existing techniques. Furthermore, the system provides enhanced security through consensus optimization and k-anonymity for data privacy. Overall, the proposed system is a promising solution for efficient and secure V2V communication in the era of connected and autonomous vehicles. Moreover, the proposed approach achieves higher reliability, lower latency, and better resource utilization compared to traditional 5G.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	V2V, 5G/6G, Beyond 5G, Federated Learning, Blockchain
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	27 Mar 2024 03:29
Last Modified:	27 Mar 2024 03:29
URII:	http://shdl.mmu.edu.my/id/eprint/12216

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