Intelligent Technologies for Internet of Vehicles

• Main Authors: Magaia, Naercio, Mastorakis, George, Mavromoustakis, Constandinos, Pallis, Evangelos, Markakis, Evangelos K
• Format: eBook
• Language: English
• Published: Cham Springer International Publishing AG 2021; Springer International Publishing
• Edition: 1
• Series: Internet of Things
• Subjects: Artificial Intelligence; Communications Engineering, Networks; Computer Science; Cyber-physical systems, IoT; Engineering; Innovation/Technology Management; Internet of things; Transportation Technology and Traffic Engineering
• ISBN: 9783030764920; 3030764923
• ISSN: 2199-1073; 2199-1081
• DOI: 10.1007/978-3-030-76493-7

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 developing protocols and AI applications and services for IoV-related devices.