Vol. 3 No. 2 (2023): Journal of AI-Assisted Scientific Discovery
Articles

AI-Driven Approaches for Autonomous Vehicle Communication and Networking

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  • Dr. Masayuki Mori
Dr. Masayuki Mori
Associate Professor of Robotics, Kyushu Institute of Technology, Japan
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Published 23-06-2024

Keywords

  • Autonomous Vehicle,
  • AVs
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How to Cite

[1]
Dr. Masayuki Mori, “AI-Driven Approaches for Autonomous Vehicle Communication and Networking”, Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, pp. 1–12, Jun. 2024, Accessed: Nov. 10, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/34

Abstract

In this New Era of the sixth generation (6G) of wireless technologies, the required incompatibilities and the desired solutions between connected and autonomous vehicles (CAV) with multidimensional security and resource management possibilities in the stretched vehicular communication infrastructure making full use of broader smarter world (robotic) mobile smart things due to multilayer interconnected (layer-less) collective intelligence, cellular internet node particularity, spatial groupiness, cognitive radio, block chain, AI/ML platforms are pivotal. Refinements of latent challenges specific lambdas for nanonetworking for a cluster of six Gs using block-hing based enroute computable, aggregation supported trust management with secure multistakeholder driven smart (SMS-Pki-LD) context evaluation with CATHEX multidonor-correlator are diversified innovative knowledge. More mature, simplified, intelligent and global 6G is needed to fit much more closely with the colourful requirements of a predominantly enroute automotives. Networking technology is inadequate to achieve the ambitious aims of Autonomous Vehicle, connected Autos and smart things in cellular internet domain in this sixth generation. Application driven services in this big data smart world (a group of seven Gs) demands for connectivity that are secure, reliable, flexible, bernoulli wit h Intelligence and massive mobility [1].

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