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Table of Contents

Оглавление

Cover

Title Page

Copyright

Preface

Acknowledgment

1 IoT in 5th Generation Wireless Communication 1.1 Introduction 1.2 Internet of Things With Wireless Communication 1.3 Internet of Things in 5G Mobile Computing 1.4 Internet of Things and 5G Integration With Artificial Intelligence 1.5 A Genetic Algorithm for 5G Technologies With Internet of Things 1.6 Conclusion & Future Work References

2 Internet of Things-Based Service Discovery for the 5G-VANET Milieu 2.1 VANET 2.2 5G 2.3 Service Discovery 2.4 Service Discovery in 5G-VANET Milieu 2.5 Service Discovery Architecture for 5G-VANET Milieu 2.6 Performance Evaluation Metrics for Service 2.7 The Advantage of Service Discovery in the 5G-VANET Milieu 2.8 The Disadvantage of Service Discovery in the 5G-VANET Milieu 2.9 Future Enhancement and Research Directions 2.10 Conclusions References

3 IoT-Based Intelligent Transportation System for Safety 3.1 Introduction 3.2 Elements of ITS 3.3 Role of ITS in Safety 3.4 Sensor Technologies 3.5 Classification of Vehicle Communication Systems 3.6 IoT in Vehicles 3.7 Embedded Controllers 3.8 ITS Challenges and Opportunities References

4 Cloud and IoT-Based Vehicular Ad Hoc Networks (VANET) 4.1 Introduction to VANET 4.2 Vehicle-Vehicle Communication (V2V) 4.3 Vehicle–Infrastructure Communication (V2I) 4.4 Vehicle–Broadband Cloud Communication (V2B) 4.5 Characteristics of VANET 4.6 Prime Applications 4.7 State-of-the-Art Technologies 4.8 VANET Challenges 4.9 Video Streaming Broadcasting References

10  5 Interleavers-Centric Conflict Management Solution for 5G Vehicular and Cellular-IoT Communications 5.1 Introduction 5.2 Background 5.3 Device Identity Conflict Issue 5.4 Related Work 5.5 Interleavers-Centric Conflict Management (ICM) 5.6 Signaling Procedures for Enabling ICM 5.7 Conclusion References

11  6 Modeling of VANET for Future Generation Transportation System Through Edge/Fog/Cloud Computing Powered by 6G 6.1 Introduction 6.2 Related Works 6.3 Proposed System Overview 6.4 Modeling of Proposed System 6.5 Results and Discussion 6.6 Conclusion References

12  7 Integrating IoT and Cloud Computing for Wireless Sensor Network Applications 7.1 Introduction 7.2 Challenges and Opportunities 7.3 Case Study 7.4 Conclusion References

13  8 Comparative Study on Security and Privacy Issues in VANETs 8.1 Introduction 8.2 Characteristics of VANETs 8.3 Literature Survey 8.4 Authentication Requirements in VANETs Communications 8.5 Conclusion References

14  9 Software Defined Network Horizons and Embracing its Security Challenges: From Theory to Practice 9.1 Introduction 9.2 Background and Literature Survey 9.3 Objective and Scope of the Chapter 9.4 SDN Architecture Overviews 9.5 Open Flow 9.6 SDN Security Architecture 9.7 Techniques to Mitigate SDN Security Threats 9.8 Future Research Directions 9.9 Conclusions References

15  10 Bio-Inspired Routing in VANET 10.1 Introduction 10.2 Geography-Based Routing 10.3 Topology-Based Routing 10.4 Biological Computing 10.5 Elephant Herding Optimization Algorithm 10.6 Research Methodology 10.7 Conclusion References

16  11 Distributed Key Generation for Secure Communications Between Different Actors in Service Oriented Highly Dense VANET 11.1 Introduction 11.2 Hierarchical Clustering 11.3 Layer-Wise Key Generation 11.4 Implementation 11.5 Randomness Test 11.6 Brute Force Attack Analysis 11.7 Conclusion References

17  12 Challenges, Benefits and Issues: Future Emerging VANETs and Cloud Approaches 12.1 Introduction 12.2 VANET Background 12.3 VANET Communication Standards 12.4 VANET Applications 12.5 VANET Sensing Technologies 12.6 Trust in Ad Hoc Networks 12.7 Software-Defined Network (SDN) in VANET 12.8 Clustering Approaches: Issues 12.9 Up-and-Coming Technologies for Potential VANET 12.10 Challenges, Open Issues and Future Work of VANETs 12.11 Conclusion References

18  13 Role of Machine Learning for Ad Hoc Networks 13.1 Introduction 13.2 Literature Survey 13.3 Machine Learning Computing 13.4 Methodology 13.5 Simulation Results 13.6 Conclusions References

19  14 Smart Automotive System With CV2X-Based Ad Hoc Communication 14.1 Introduction 14.2 Realization of Smart Vehicle 14.3 Analysis of NXP Smart Vehicle Architecture 14.4 Smart Vehicle Proof of Concept (POC) 14.5 Smart Vehicle Trials 14.6 System Comparison 14.7 Summary and Conclusion Acknowledgement References

20  15 QoS Enhancement in MANET 15.1 Introduction 15.2 Priority Aware Mechanism (PAM) 15.3 Power Aware Mechanism 15.4 Hybrid Mechanism 15.5 Simulation Results and Discussion 15.6 Performance Comparison 15.7 Conclusion References

21  16 Simulating a Smart Car Routing Model (Implementing MFR Framework) in Smart Cities Introduction 16.2 Background 16.3 Literature Review 16.4 Methodology 16.5 Discussion and a Future Direction 16.6 Conclusions References

22  17 Potentials of Network-Based Unmanned Aerial Vehicles 17.1 Introduction 17.2 Applications of UAVs 17.3 Advantages of UAVs 17.4 UAV Communication System 17.5 Types of Communication 17.6 Wireless Sensor Network (WSN) System 17.7 The Swarm Approach 17.8 Market Potential of UAVs 17.9 Conclusion References

23  Index

24  About the Editors

25  End User License Agreement

Cloud and IoT-Based Vehicular Ad Hoc Networks

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