Toward Connected, Cooperative and Intelligent IoV Frontier Technologies and Applications /

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 w...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Liu, Kai (Author), Dai, Penglin (Author), Lee, Victor C.S (Author), Ng, Joseph Kee-Yin (Author), Son, Sang Hyuk (Author)
সংস্থা লেখক: SpringerLink (Online service)
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
সংস্করন:1st ed. 2024.
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-981-99-9647-6
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
সূচিপত্রের সারণি:
  • 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.