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024	7		_a10.1007/978-981-99-9647-6 _2doi
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100	1		_aLiu, Kai. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aToward Connected, Cooperative and Intelligent IoV _h[electronic resource] : _bFrontier Technologies and Applications / _cby Kai Liu, Penglin Dai, Victor C.S. Lee, Joseph Kee-Yin Ng, Sang Hyuk Son.
250			_a1st ed. 2024.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024.
300			_aXX, 327 p. 1 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPart 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.
520			_aThis 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.
650		0	_aMobile computing.
650		0	_aCooperating objects (Computer systems).
650		0	_aMathematical optimization.
650		0	_aAlgorithms.
650		0	_aInternet of things.
650		0	_aMachine learning.
650	1	4	_aMobile Computing.
650	2	4	_aCyber-Physical Systems.
650	2	4	_aDiscrete Optimization.
650	2	4	_aDesign and Analysis of Algorithms.
650	2	4	_aInternet of Things.
650	2	4	_aMachine Learning.
700	1		_aDai, Penglin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aLee, Victor C.S. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aNg, Joseph Kee-Yin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aSon, Sang Hyuk. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789819996469
776	0	8	_iPrinted edition: _z9789819996483
776	0	8	_iPrinted edition: _z9789819996490
856	4	0	_uhttps://doi.org/10.1007/978-981-99-9647-6
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