Computational Intelligence for Adaptive Cyber Resilience in IoT-connected Autonomous Vehicle Networks
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[1]
Dr. Charalampos Stylios, “Computational Intelligence for Adaptive Cyber Resilience in IoT-connected Autonomous Vehicle Networks”, Journal of Bioinformatics and Artificial Intelligence, vol. 2, no. 1, pp. 113–128, Jun. 2024, Accessed: Nov. 21, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/39

Abstract

The Autonomous Vehicle Network (AVN) is a set of heterogeneous devices, including smart vehicles, sensors, direct and V2X communication interfaces, radio access/edge network/core network infrastructure, generally managed by a push of fingers, as well as wireless cloud backend, which collaborate to deliver a number of services targeted at transportation safety, mobility, and environmental goals. The main goal of AV technology is not simply to replace the driver but allow autonomous vehicles and advanced control systems to prevent and mitigate the most common cause of crashes (human errors). Many decision-making systems in AVNs should be designed. Furthermore, the frequency of data transmission is also an important aspect. Many protocols designed for chatty data (with short information included by messages or events at any time and anywhere) can be used to transfer data from/to vehicles.

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