 Название: Toward Connected, Cooperative and Intelligent IoV: Frontier Technologies and Applications
Автор: Kai Liu, Penglin Dai, Victor C. S. Lee, Joseph Kee-Yin Ng, Sang Hyuk Son
Издательство: Springer
Год: 2024
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB
This book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications. It focuses on the state-of-the-art IoV with regard to three major directions, namely networking, cooperation, and intelligence, including advanced wireless communication technologies, algorithm theory, optimization mechanisms, and AI technologies. In addition, the book includes a number of case studies with system prototype implementation and hands-on experiments in IoV, making it suitable both as a technical reference work for professionals and as a textbook for graduate students.
Driven by cutting-edge technologies on wireless communication, mobile computing, and Artificial Intelligence (AI), Internet of Vehicles (IoV) is thriving in an era of unprecedented development and innovation. On the other hand, the global automobile industry is accelerating its transformation towards electrification, networking, intelligence, and sharing, where IoV is emerging as the most fundamental platform for realizing future Intelligent Transportation Systems (ITSs) and smart cities.
By looking back on the history of mobile phones in the past decade, they evolve from conventional calling and messaging tools to current smart devices with impressing functions. It is foreseeable that in near future, similar trends will happen on vehicles such that they are not just transportation tools but will act as cooperated intelligent agents immersed with rich and exciting smart applications.
Currently, the intelligent assisted driving technologies are getting mature and being commercialized rapidly. From the technical point of view, the development trend is shifting from single-vehicle intelligence to vehicle-road-cloud collaborative intelligence. IoV, which intrinsically incorporates characteristics of Vehicle-to-Everything (V2X) communications, end-edge-cloud cooperation, and intelligent computation, will be a fundamental platform in supporting the development of future Intelligent and Connected Vehicles (ICV). Evidently, it is of great significance to explore both key scientific problems and practical engineering demands of IoV.
Although IoV has received tremendous attention in both academia and industry, we are still lack of a holistic view on IoV with respect to its latest technological advances in theories, methodologies, and systems. In view of this, this monograph is dedicated to presenting our representative achievements and forming a systematic introduction on connected, cooperative, and intelligent IoV.
Contents:
Part I. Introduction
Part II. Connected IoV: Vehicular Communications and Data Dissemination
3. Data Dissemination via I2V/V2V Communications in Software Defined Vehicular Networks
4. Network Coding-Assisted Data Broadcast in Large-Scale Vehicular Networks
5. Fog Computing Empowered Data Dissemination in Heterogeneous Vehicular Networks
6. Temporal Data Uploading and Dissemination in Real-Time Vehicular Networks
Part III. Cooperative IoV: End-Edge-Cloud Cooperative Scheduling and Optimization
7. Convex Optimization on Vehicular End–Edge–Cloud Cooperative Task Offloading
8. An Approximation Algorithm for Joint Data Uploading and Task Offloading in IoV
9. Distributed Task Offloading and Workload Balancing in IoV
Part IV. Intelligent IoV: Key Enabling Technologies in Vehicular Edge Intelligence
10. Toward Timely and Reliable DNN Inference in Vehicular Edge Intelligence
11. Deep Q-Learning-Based Adaptive Multimedia Streaming in Vehicular Edge Intelligence
12. A Multi-agent Multi-objective Deep Reinforcement Learning Solution for Digital Twin in Vehicular Edge Intelligence
Part V. Case Studies
Part VI. Conclusion and Future Directions
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