Intelligent Technologies for Internet of Vehicles

Intelligent Technologies for Internet of Vehicles [electronic resource] / edited by Naercio Magaia, George Mastorakis, Constandinos Mavromoustakis, Evangelos Pallis, Evangelos K. Markakis. - 1st ed. 2021. - XV, 511 p. 183 illus., 132 illus. in color. online resource. - Internet of Things, Technology, Communications and Computing, 2199-1081 . - Internet of Things, Technology, Communications and Computing, .

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.

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.

9783030764937

10.1007/978-3-030-76493-7 doi


Cooperating objects (Computer systems).
Telecommunication.
Transportation engineering.
Traffic engineering.
Artificial intelligence.
Technological innovations.
Cyber-Physical Systems.
Communications Engineering, Networks.
Transportation Technology and Traffic Engineering.
Artificial Intelligence.
Innovation and Technology Management.

TK7895.E42 TK5105.8857

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