Guest Editors
Prof. Cheng-Chi Lee
Email: cclee@mail.fju.edu.tw
Affiliation: Department of Library and Information Science, Fu Jen Catholic University, New Taipei City, 242062, Taiwan
Homepage:
Research Interests: artificial iintelligence, wireless networks, network security, mobile communications, wireless computing, vehicular technology, wireless communications, internet of things, internet of vehicles
Dr. Agbotiname Lucky Imoize
Email: aimoize@unilag.edu.ng
Affiliation: Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Lagos, Nigeria
Homepage:
Research Interests: wireless communications, wireless security systems, artificial intelligence, internet of things
Prof. Olha Partyka
Email: olha.o.mykhailova@lpnu.ua
Affiliation: Department of Information Protection, Lviv Polytechnic National University, Lviv, 79013, Ukraine
Homepage:
Research Interests: wireless and mobile security, IoT security, data protection and privacy, applied cryptography, AI/ML for threat detection, secure software engineering, cloud security, vehicular security
Prof. Cristian Randieri
Email: cristian.randieri@uniecampus.it
Affiliation: Dipartimento di Scienze Teoriche e Applicate DiSTA, Faculty of Engineering, eCampus University, Via Isimbardi 10, 22060 Novedrate, Italy
Homepage:
Research Interests: artificial intelligence, neural networks, computer vision, human-machine interfaces, vehicular systems, database, telecommunications, embedded electronics
Summary
Artificial Intelligence (AI) is a candidate enabler of the emerging Internet of Vehicle Systems. The enormous potential in AI can be exploited to aid the design and implementation of cutting-edge Internet of Vehicle Systems, addressing critical challenges, such as latency, interference, and reliability in these systems. When designing Internet of Vehicle Systems, it is essential to account for the limitations of the systems, hardware impairment, security vulnerabilities, and latency, among others. However, designing such mission-critical systems can be challenging, expensive, and computationally demanding. Toward this end, there is a need to deploy AI-based solutions to aid the design, implementation, and management of Internet of Vehicle Systems.
This special issue focuses on new AI-based applications in the general framework of Internet of Vehicle Systems. Specifically, the special issue aims to provide a forum for collecting the latest research findings and high-quality works on the novel applications of artificial intelligence in Internet of Vehicles Systems.
The topics are, but not limited to, the following:
· AI for reliable communications in internet of vehicles systems
· AI for computation offloading in internet of vehicles systems
· AI for edge service optimization on the internet of vehicles
· AI for energy efficiency optimization in internet of vehicles systems
· AI for signal processing in internet of vehicles systems.
· AI for optimal hardware design of internet of vehicles systems.
· AI-based resource management in internet of vehicles systems
· AI for cooperative communications in internet of vehicles systems.
· AI for training and testing internet of vehicles systems
· AI for autonomous internet of vehicles path planning.
· AI for performance evaluation of the internet of vehicle systems
· AI-based intelligent technologies for the internet of vehicles.
· AI for enhanced security of the internet of vehicles.
· AI-assisted regulatory policies for the internet of vehicles.
Keywords
artificial intelligence, internet of vehicles, vehicular communications, vehicular security systems, energy efficiency, hardware efficiency, ultra-low latency, network reliability, mobile devices, computational offloading, hardware security.
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