In the current technological age, intelligent vehicles are able to communicate with one another via multiple networks, and secure communications between these vehicles are highly desirable. Through the processing of real-time data, vehicular communication facilitates secure communication and reduces traffic congestion costs. As vehicular systems proliferate, multiple communication options, such as message sharing and data transmission, are available and are therefore vulnerable to privacy and security threats. Artificial Intelligence has made tremendous progress across a wide range of research fields, including health care, transportation management, academia, and genetic engineering. Furthermore, blockchain technology is a viable solution in various fields focusing on maintaining security. Since the development of artificial intelligence (AI) and blockchain technology, researchers have found solutions to vehicular network-related security problems using these two technologies individually and in conjunction. Furthermore, while working with vehicular communication, it becomes necessary to exchange data in order to ensure everyone's safety on the road. As a result, the Internet of Things has become prevalent in this sector. Regarding accident prevention, drivers can use it to receive all the necessary data from surrounding cars.

This book explores the latest advances in AI, IoT, and blockchain for the future of vehicular communications. In addition to technological challenges, models, and applications, the accepted book chapters addressed many other topics. The book provides a balanced presentation of theoretical concepts and practical knowledge. In addition to reflecting research trends, it will also reflect industrial needs. As a reference, it aims to provide students, researchers, engineers, and professionals in this particular field, as well as those interested in learning about its various facets.

Submission Guidelines

Plagiarism should be less than 10%. The contribution must be original and unpublished work, not submitted for elsewhere for publication. Experimental work or literature reviews are invited for submission. 

List of Topics

• 1. Aircraft feature recognition and extraction

  2. Collision avoidance

  3. Secure Vehicular Networks based on IoT

  4. Automated driving

  5. Machine learning for secure Vehicular communication

  6. AI for vehicle to everything

  7. Automated notification system for vehicle communication

  8. Adhoc routing in internet of vehicles

  9. Blockchain for secure Vehicular communications

  10.  QoS aware connectivity management

  11. Intrusion vehicular detection

  12. Intelligent surface aided system for reliable vehicular communication

  13. Interpretable misbehaviour detection

  14. Vehicular intelligence in 6G

  15. Cluster formation

  16. Visible light communication for Vehicle to vehicle communication

  17. Integrating optical communication for vehicular applications

  18. Federated learning for vehicular internet of things

  19. Privacy preservation and data queue for VANET

  20. Dynamic relay selection for communication

  21. 6G for vehicle of everything

  22.  Network reputation management

  23. Secure communication for emergency rescue operations

  24. Metaheuristic route planning for vehicular networks

  25. Low latency communication with blockchain and edge computing

  26. Millimeter wave communication for internet of vehicles

  27. Handover management for vehicular communication

  28. Machine learning for intelligent transportation

  29. Performance evaluation of millimeter wave vehicle to vehicle communication

Publication

AIBVC 2022 book will be published in the CRC book series. There will be no submission or publication charges to publish in this book.

Contact

Editors : 

Shilpa Mehta

Department of Electrical and Electronic Engineering, Auckland University of Technology

Email: shilpamehta.ece87@gmail.com

Arij Naser Abougreen

University of Tripoli, Libya

Email: a.abougreen@uot.edu.ly