Intelligent Technologies for Internet of Vehicles, 1st ed. 2021 Internet of Things Series

This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions.  This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developingprotocols and AI applications and services for IoV-related devices.

Introduction.- Introduction of AI and IoV.- Architectures and systems for AI and IoV convergence.- IoV with Machine Learning and Artificial Immune System technologies.- AI and IoV applications.- AI enabled IoV systems.- Performance Evaluation of Deep Learning and IoV-related mechanisms.- Conclusion.

Dr. Naercio Magaia received his (five-year) B.Sc. degree in Electrical Engineering from Eduardo Mondlane University in 2006, his M.Sc. in Communication Networks Engineering from Instituto Superior Tecnico, University of Lisbon (IST/ULisboa) in 2011, and his Ph.D. in Electrical and Computer Engineering from IST/ULisboa in 2017. He currently serves as an Invited Assistant Professor in the Department of Informatics at the Faculty of Sciences of the University of Lisbon. He has actively participated in national and EU-funded research projects. He has more than 25 publications at various international conferences, workshops, scientific journals, and book chapters. Dr. Magaia has acted as a reviewer for several international journals and conferences and has a member of technical programs and organizing committees. His research interests include Computer Networks, the Internet of things, Cybersecurity, and Artificial Intelligence. 

Dr. George Mastorakis received his B.Eng. (Honours) in Electronic Engineering from UMIST (University of Manchester Institute of Science & Technology) in 2000, his M.Sc. in Telecommunications from UCL (University College London) in 2001 and his Ph.D. in Telecommunications from University of the Aegean in 2008. He currently serves as an Associate Professor in the Department of Management Science and Technology at Hellenic Mediterranean University in Greece and as a Director of e-Business Intelligence Laboratory. He has actively participated in a large number of EU funded research projects (FP6, FP7 and Horizon2020) and national research ones. He has also acted as a technical manager in many research projects funded by GSRT (General Secretariat for Research & Technology, Ministry of Development, Greece). He has more than 300 publications at various international conferences proceedings, workshops, scientific journals and book chapters. He has acted as a reviewer for several scientific journals and member of conferences technical prog