Toward Connected, Cooperative and Intelligent IoV

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.

Part I. Introduction. - Chapter 1. Background of IoV. - Chapter 2. State-of-the-Art. - Part II. Connected IoV: Vehicular Communications and Data Dissemination. - Chapter 3. Data Dissemination via I2V/V2V Communications in Software Defined Vehicular Networks. - Chapter 4. Network Coding Assisted Data Broadcast in Large-Scale Vehicular Networks. - Chapter 5. Fog Computing Empowered Data Dissemination in Heterogeneous Vehicular Networks. - Chapter 6. Temporal Data Uploading and Dissemination in Real-time Vehicular Networks. - Part III Cooperative IoV: End-Edge-Cloud Cooperative Scheduling and Optimization. - Chapter 7. Convex Optimization on Vehicular End-Edge-Cloud Cooperative Task Offloading. - Chapter 8. An Approximation Algorithm for Joint Data Uploading and Task Offloading in IoV. - Chapter 9. Distributed Task Offloading and Workload Balancing in IoV. - Part IV. Intelligent IoV: Key Enabling Technologies in Vehicular Edge Intelligence. - Chapter 10. Toward Timely and Reliable DNN Inference in Vehicular Edge Intelligence. - Chapter 11. Deep Q-learning based Adaptive Multimedia Streaming in Vehicular Edge Intelligence. - Chapter 12. A Multi-agent Multi-objective Deep Reinforcement Learning Solution for Digital Twin in Vehicular Edge Intelligence. - Part V. Case Studies. - Chapter 13. See Through System. - Chapter 14. Non-Line-of-Sight Collision Warning System. - Chapter 15. Proactive Traffic Abnormity Warning System. - Chapter 16. UAV-assisted Pedestrian Detection System. - Chapter 17. Vehicular Indoor Localization and Tracking System. - Part VI. Conclusion and Future Directions. - Chapter 18. Conclusion . - Chapter 19. Future Directions.