| Description |
1 online resource (xx, 327 pages) |
| Contents |
Intro -- Preface -- Acknowledgments -- Contents -- Acronyms -- Part I Introduction -- 1 Background of IoV -- 1.1 What Is IoV -- 1.2 A Hierarchical Architecture of IoV -- 1.3 Challenges -- References -- 2 State of the Art -- 2.1 Data Dissemination in IoV -- 2.1.1 Vehicular Communication Protocols -- 2.1.2 Data Dissemination in SDVN -- 2.1.3 Advanced Scheduling for Vehicular Data Dissemination -- 2.2 Vehicular End-Edge-Cloud Cooperation -- 2.2.1 Cloud-Based Services in IoV -- 2.2.2 MEC-Based Services in IoV -- 2.2.3 End-Edge-Cloud Cooperated Services in IoV -- 2.3 Vehicular Edge Intelligence |
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2.3.1 Key Technologies -- 2.3.2 Cooperative Sensing and Heterogeneous Information Fusion in Vehicular Edge Intelligence -- 2.3.3 Vehicular Edge Intelligence Empowered ITSs -- References -- Part II Connected IoV: Vehicular Communications and Data Dissemination -- 3 Data Dissemination via I2V/V2V Communications in Software Defined Vehicular Networks -- 3.1 Introduction -- 3.2 System Architecture -- 3.3 Cooperative Data Scheduling (CDS) Problem -- 3.3.1 Problem Formulation -- 3.3.1.1 Notations -- 3.3.1.2 CDS -- 3.3.1.3 Example -- 3.3.2 NP-Hardness -- 3.4 Proposed Algorithm |
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3.4.1 Identify Conflicting TSs and Compute the Weight -- 3.4.2 Construct G and Select TSs -- 3.4.3 Generate Outputs and Update Service Queue -- 3.5 Performance Evaluation -- 3.5.1 Setup -- 3.5.2 Metrics -- 3.5.3 Simulation Results -- 3.6 Conclusion -- References -- 4 Network Coding-Assisted Data Broadcast in Large-Scale Vehicular Networks -- 4.1 Introduction -- 4.2 System Architecture -- 4.3 Coding-Assisted Broadcast Scheduling (CBS) Problem -- 4.3.1 Problem Analysis -- 4.3.2 NP-Hardness -- 4.4 Proposed Algorithm -- 4.4.1 Initialization -- 4.4.2 Fitness Function -- 4.4.3 Offspring Generation |
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4.4.4 Local Search -- 4.4.5 Repair Operator -- 4.4.6 Population Replacement -- 4.4.7 Termination -- 4.5 Performance Evaluation -- 4.5.1 Setup -- 4.5.2 Simulation Results -- 4.6 Conclusion -- References -- 5 Fog Computing Empowered Data Dissemination in Heterogeneous Vehicular Networks -- 5.1 Introduction -- 5.2 System Architecture -- 5.2.1 Overview -- 5.2.2 Operational Flow -- 5.2.3 An Example -- 5.2.4 Assumptions -- 5.3 Fog Assisted Cooperative Service (FACS) Problem -- 5.3.1 Problem Analysis -- 5.3.2 Problem Transformation -- 5.3.3 NP-Hardness -- 5.4 Proposed Algorithm |
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5.4.1 Graph Transformation Scheme -- 5.4.2 CSS Algorithm -- 5.4.3 Complexity Analysis -- 5.5 Performance Evaluation -- 5.5.1 Simulation Setup -- 5.5.2 Simulation Result -- 5.6 Conclusion -- References -- 6 Temporal Data Uploading and Dissemination in Real-Time Vehicular Networks -- 6.1 Introduction -- 6.2 System Architecture -- 6.3 Temporal Data Uploading and Dissemination (TDUD) Problem -- 6.3.1 Preliminary -- 6.3.2 Problem Formulation -- 6.4 Proposed Algorithm -- 6.4.1 Multi-Objective Decomposition -- 6.4.2 Chromosome Encoding -- 6.4.3 MO-TDUD Procedure -- 6.5 Performance Evaluation -- 6.5.1 Setup |
| Summary |
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 |
| Notes |
Description based upon print version of record |
| Subject |
Vehicular ad hoc networks (Computer networks)
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Embedded Internet devices.
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| Genre/Form |
Electronic books
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| Form |
Electronic book
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| Author |
Dai, Penglin
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Lee, Victor C. S
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Ng, Joseph Kee-Yin
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Son, Sang Hyuk
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| ISBN |
9789819996476 |
|
9819996473 |
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