Vehicular Ad-hoc Networks for Smart Cities (eBook)

Third International Workshop, 2019

Anis Laouiti, Amir Qayyum, Mohamad Naufal Mohamad Saad (Herausgeber)

eBook Download: PDF

2020 | 1st ed. 2020
XII, 121 Seiten
Springer Singapore (Verlag)
978-981-15-3750-9 (ISBN)

Infos

This book presents selected papers from the Third International Workshop on Vehicular 

Ad-hoc Networks for Smart Cities, Paris, 2019. Future smart cities are well placed to profit from extraordinary mobile infrastructures. IWVSC'2019 brings together experts from both academia and industry to discuss recent developments in vehicular networking technologies and their interaction with future smart cities in order to promote further research activities and challenges.

 

Prof. Laouiti is a Full Professor at Telecom SudParis. He received his Ph.D. in Computer Science from the University of Versailles in 2002, and postdoctoral qualification from the Université Paris-Sud in 2015. His research covers various aspects of wireless multihop ad hoc and Internet of Things networks, including protocol design, performance evaluation and implementation testbeds. He is particularly interested in smart-city applications of these networks, and 5G technologies, like the Intelligent Transportation Systems, Industry 4.0, and e-Health applications. More recently, he has focused on promising next generation Internet architectures based on ICN (Information-Centric Network) and RINA (Recursive Internet Architecture). His current research interests include ITS-VANET platooning and automated driving, UAV deployment and movement coordination/optimization, and IoT: security, usage of blockchain for the IoT, trust management, and misbehavior detection in Industry 4.0 and healthcare contexts.

Amir Qayyum obtained his Ph.D. in Mobile Wireless Networks from the University of Paris-Sud, France, in 2000. He was involved in INRIA France's research on mobile ad hoc networks (MANETs) from 1996 to 2000, and has co-authored optimized link state routing (OLSR) protocol RFC (RFC-3626). He holds an engineering degree from the University of Engineering and Technology, Lahore, Pakistan, and is currently the Head of the Center of Research in Networks and Telecom (CoReNeT) at Capital University of Science and Technology, Islamabad, Pakistan. His current activities at CoReNeT include projects on multicast video streaming in hybrid IPv4 and IPv6 networks, vehicular ad hoc networks (VANETs) for active safety applications, IP multimedia subsystem (IMS) and IPTV, software-defined networks (SDNs) and network function virtualization (NFV), and he has led several research projects in these areas in collaboration with various national and international partners. 

Naufal M. Saad holds a Master's degree from the Ecole Nationale Supérieure d'Ingénieurs de Limoges (ENSIL) in France, and received his Ph.D. degree in Telecommunication from the Université de Limoges (UNILIM) in 2005. He is currently an Associate Professor at the Electrical & Electronic Engineering department of Universiti Teknologi PETRONAS (UTP), Malaysia, and also core research member at UTP's Centre for Intelligent Signal and Imaging Research (CISIR). His research interests include medical imaging, intelligent signal and communication and he has authored or co-authored more than 100 international publications. 

Inhalt

IWVSC 2019 Workshop Organization 6
General Co-chairs 6
Organizing Co-chairs 6
Technical Program Committee 6
Additional Reviewers 7
Sponsoring 8
Preface 9
Contents 11
Intelligent Traffic Systems and V2X Communication 13
Implementation and Evaluation of Intelligent Roadside Infrastructure for Automated Vehicle with I2V Communication 14
1 Introduction 15
2 Related Works 16
3 Intelligent RSI for Extending Perception of AVs 17
3.1 Requirements 17
3.2 Architecture of the System 19
3.3 Central Perception Unit 19
4 Key Concepts in Implementation of Intelligent RSI 20
4.1 Site Survey 20
4.2 Sensors Qualification Per Site 23
4.3 RSI Installations 24
5 Evaluations 25
5.1 V2X Transmissions Evaluations 25
5.2 Sensor Evaluations 26
5.3 Time Synchronization Between Complete RSI and AV 27
6 Conclusion 28
References 28
Technology Selection for IoT-Based Smart Transportation Systems 30
1 Introduction 31
2 Technologies Specification 32
2.1 LoRaWAN 33
2.2 NB-IoT 33
2.3 Sigfox 34
2.4 Wi-Fi HaLow 34
3 Weight Distribution and Decision Algorithms 35
3.1 Assignment of Weights 35
3.2 SAW 37
3.3 TOPSIS 37
4 Implementation and Discussion 37
4.1 Numerical Results 38
4.2 Hardware Implementation 39
5 Conclusions 39
References 39
Performance Evaluation of Speed Platoon Splitting Algorithm 41
1 Introduction 41
2 Proposed Algorithm 44
2.1 Velocity 44
2.2 Traffic Congestion 44
2.3 SPS Algorithm Description 45
3 Performance Evaluation of SPS Algorithm 46
3.1 Simulation 46
3.2 Simulation Parameters 47
3.3 Performance Parameters 47
3.4 Performance Results and Analysis 48
4 Conclusion 52
References 52
New Technologies for Vehicular Networks 53
AVEC: A Statistical Framework for Adaptive Vehicular Edge Data Cleaning 54
1 Introduction 55
2 Related Work 56
3 System Model 57
3.1 Mobility Pattern and Street Layout 57
3.2 Spatial Distribution of RSUs and Sensing Ranges 57
4 Adaptive Vehicular Edge Data Cleaning 58
5 Performance Evaluation 61
5.1 Simulation Setup 61
5.2 Performance Results 62
6 Conclusion 65
References 66
Software-Defined Networking for Emergency Traffic Management in Smart Cities 67
1 Introduction 67
2 Background 69
3 Software-Defined Networking 70
4 SDN-Based Emergency Traffic Management Application 70
4.1 System Components and Communications 71
4.2 System Design 71
5 Implementation 72
6 Performance Evaluation and Results 74
7 Related Work 76
8 Conclusions and Future Work 77
References 78
Vehicular Networks and Security 79
Towards a Reliable Machine Learning-Based Global Misbehavior Detection in C–ITS: Model Evaluation Approach 80
1 Introduction 81
2 Related Work 82
3 System Model 83
3.1 cits General Architecture 83
3.2 Misbehavior Detection Overview 84
3.3 Local Detectors 85
3.4 Attacker Model 86
4 Misbehavior Authority Evaluation 87
4.1 Simulation Settings and Scenarios 87
4.2 ml Features 89
4.3 Results and Analysis 89
5 Conclusion and Future Work 91
References 92
A RINA-Based Security Architecture for Vehicular Networks 94
1 Introduction 94
2 VANET Security 95
2.1 Security Issues 95
2.2 Standardizations 96
2.3 ETSI Security Architecture for VANETs 97
3 Recursive Internetwork Architecture : RINA 98
3.1 RINA Management System 100
3.2 RINA and VANET 100
4 Enhancing Vehicular Security with RINA 101
4.1 Securing VANET with RINA 101
4.2 Ensuring Trust with RINA 103
5 Conclusion 103
References 103
Networks of Trusted Execution Environments for Data Protection in Cooperative Vehicular Systems 105
1 Introduction 105
2 System Overview and Approach 106
3 Voting-Based Consensus 109
4 Lottery-Based Consensus 110
5 Graph-Based Consensus 112
6 Conclusion 112
References 113
Vehicular Ad Hoc Networks Security for Smart Cities Based on 2D ZCC/MD Optical CDMA Code 116
1 Introduction 117
2 Security and Privacy Challenge 118
3 Proposed Approach 119
3.1 Development of 2D ZCC/MD Code 121
3.2 System Description 121
3.3 Criterion of the Proposed Code 122
4 Results and Discussion 122
5 Conclusion 124
References 124
Author Index 126

Produkt-Details

• Erscheint lt. Verlag: 7.4.2020
• Reihe/Serie: Advances in Intelligent Systems and Computing
• Reihe/Serie: Advances in Intelligent Systems and Computing
• Zusatzinfo: XII, 121 p. 44 illus., 38 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Fahrzeugbau / Schiffbau
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Autonomous driving in smart cities • Blockchain for V2X • Heterogenous vehicular networks • intelligent transportation systems • IoT for automotive • Machine Learning for Vehicular Networks • Privacy in vehicular networks • Vehicle-to-infrastructure (V2I) communications • Vehicle-to-vehicle (V2V) Communications • Vehicular Clouds • Vehicular Social Networks • wireless sensor networks
• ISBN-10: 981-15-3750-X / 981153750X
• ISBN-13: 978-981-15-3750-9 / 9789811537509