Internet of Vehicles
1st Edition
Published on 7. April 2026
Book
Hardback
528 pages
978-1-394-27508-3 (ISBN)
Description
Position yourself at the forefront of the transportation revolution with this guide to mastering computational intelligence that serves as the essential linchpin for the safe, sustainable, and hyper-connected Internet of Vehicular Things.
The rapid adoption of the Internet of Things has transformed the way we interact with our environment, ushering in an era of unprecedented connectivity and data sharing. One of the most dynamic and influential manifestations of this technological revolution is the Internet of Vehicular Things, a paradigm that connects the digital and physical worlds through the integration of intelligent vehicles, smart infrastructure, and advanced communication networks. In this fast-evolving landscape, computational intelligence emerges as the linchpin that enables IoVT to realize its full potential. This book addresses the fascinating intersection of vehicle technology and computational intelligence. It explores the transformative power of algorithms, machine learning, artificial intelligence, and data analytics shaping the future of transportation. As vehicles become smarter, safer, and more efficient, the opportunities for innovation and optimization are limitless. The IoVT ecosystem encompasses a wide range of applications, from autonomous vehicles and traffic management systems to driver assistance technologies and predictive maintenance. By harnessing the collective intelligence of vehicles and infrastructures, IoVT promises to revolutionize not only our daily commute, but the broader transportation landscape, paving the way for sustainable, efficient, and safe mobility solutions. This book is a comprehensive guide for researchers, engineers, practitioners, and policymakers looking to navigate the complex terrain of IoVT using computational intelligence. It provides a multidisciplinary perspective and draws on recent advances in computer science, data science, electrical engineering, and transportation science to facilitate a deep understanding of the key concepts, challenges, and opportunities associated with IoVT and computational intelligence.
The rapid adoption of the Internet of Things has transformed the way we interact with our environment, ushering in an era of unprecedented connectivity and data sharing. One of the most dynamic and influential manifestations of this technological revolution is the Internet of Vehicular Things, a paradigm that connects the digital and physical worlds through the integration of intelligent vehicles, smart infrastructure, and advanced communication networks. In this fast-evolving landscape, computational intelligence emerges as the linchpin that enables IoVT to realize its full potential. This book addresses the fascinating intersection of vehicle technology and computational intelligence. It explores the transformative power of algorithms, machine learning, artificial intelligence, and data analytics shaping the future of transportation. As vehicles become smarter, safer, and more efficient, the opportunities for innovation and optimization are limitless. The IoVT ecosystem encompasses a wide range of applications, from autonomous vehicles and traffic management systems to driver assistance technologies and predictive maintenance. By harnessing the collective intelligence of vehicles and infrastructures, IoVT promises to revolutionize not only our daily commute, but the broader transportation landscape, paving the way for sustainable, efficient, and safe mobility solutions. This book is a comprehensive guide for researchers, engineers, practitioners, and policymakers looking to navigate the complex terrain of IoVT using computational intelligence. It provides a multidisciplinary perspective and draws on recent advances in computer science, data science, electrical engineering, and transportation science to facilitate a deep understanding of the key concepts, challenges, and opportunities associated with IoVT and computational intelligence.
More details
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Dimensions
Height: 158 mm
Width: 238 mm
Thickness: 35 mm
Weight
864 gr
ISBN-13
978-1-394-27508-3 (9781394275083)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
S. Neelakrishnan | Niresh Jayarajan | Malathy Sathyamoorthy
Internet of Vehicles
E-Book
04/2026
1st Edition
Wiley
€216.99
Available for download
S. Neelakrishnan | Niresh Jayarajan | Malathy Sathyamoorthy
Internet of Vehicles
E-Book
04/2026
1st Edition
Wiley
€216.99
Available for download
Persons
S. Neelakrishnan, PhD is a Professor and the Head of the Department of Automobile Engineering at the PSG College of Technology. He has been instrumental in the development of vocational programs for the automotive domain and set up 15 specialized state of the art laboratories in the automotive and textile domain.
Niresh Jayarajan, PhD is an Assistant Professor in the Department of Automobile Engineering at the PSG College of Technology and a member of the Society of Automotive Engineers of India. His research interests include electric and hybrid vehicles, vehicle acoustics, and energy management systems.
Malathy Sathyamoorthy, PhD is an Assistant Professor in the Department of Information Technology at the KPR Institute of Engineering and Technology. She has published more than 25 research papers in international journals, 22 papers in international conferences, eight book chapters, one book, and two patents. Her research interests include wireless sensor networks, networking, security, and machine learning.
Rajesh Kumar Dhanaraj, PhD is a Professor at Symbiosis International University. He has contributed more than 100 articles to international journals and conferences, authored and edited more than 50 books, and holds 21 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.
Archana Naganathan, PhD is an Assistant Professor in the Department of Electrical and Electronics Engineering at the PSG College of Technology and a member of the Institute of Engineers of India. Her research interests cover the areas of power electronics, optimisation techniques, and hybrid electric vehicles.
Niresh Jayarajan, PhD is an Assistant Professor in the Department of Automobile Engineering at the PSG College of Technology and a member of the Society of Automotive Engineers of India. His research interests include electric and hybrid vehicles, vehicle acoustics, and energy management systems.
Malathy Sathyamoorthy, PhD is an Assistant Professor in the Department of Information Technology at the KPR Institute of Engineering and Technology. She has published more than 25 research papers in international journals, 22 papers in international conferences, eight book chapters, one book, and two patents. Her research interests include wireless sensor networks, networking, security, and machine learning.
Rajesh Kumar Dhanaraj, PhD is a Professor at Symbiosis International University. He has contributed more than 100 articles to international journals and conferences, authored and edited more than 50 books, and holds 21 patents. His research interests encompass machine learning, cyber-physical systems, and wireless sensor networks.
Archana Naganathan, PhD is an Assistant Professor in the Department of Electrical and Electronics Engineering at the PSG College of Technology and a member of the Institute of Engineers of India. Her research interests cover the areas of power electronics, optimisation techniques, and hybrid electric vehicles.
Content
Preface xxi
1 Computational Intelligence and Internet of Vehicle Things: An Introduction 1
Akshya. J., Sundarrajan M., Mani Deepak Choudhry, Kirubhakaran M. and Reeba Rose L.
1.1 Introduction to Computational Intelligence in Internet of Vehicle Things 2
1.2 Evolution of Vehicle Communication and IoVT Frameworks 7
1.3 System Architecture for CI-Enabled IoVT Networks 11
1.4 Security, Privacy, and Trust Models in CI-Based IoVT 14
1.5 Performance Metrics and Benchmarking of CI-Driven IoVT Systems 17
1.6 Challenges and Future Trends in CI-Enabled IoVT 24
1.7 Conclusion and Research Directions 29
2 Internet of Things in Vehicular Technologies: Past, Present, and Future 35
Divya Joshi, Hemlata Gangwar, Md. Wazih and Pradeep Kumar Sharma
2.1 Introduction 36
2.2 The Past: Mechanical Vehicles to Early Electronic Systems 40
2.3 Current State of IoT in Vehicular Technologies 43
2.4 Current Framework and Design Issues of IoT 48
2.5 IoT-Enabled Applications in Vehicular Technologies 54
2.6 Security and Privacy Concerns 61
2.7 Emerging Technologies and Trends 67
2.8 Future Research Directions 75
2.9 Case Study 79
2.10 Conclusion 82
3 IoT-Based Network Architectures and Communication Protocols for UAV Communications 93
Anusha N., Malini S. and P. Suresh
3.1 Introduction 94
3.2 Classification of UAVs 97
3.3 IoT Architectures 101
3.4 IoT Communication Protocols for UAV 107
3.5 Conclusion 117
4 Mobility as a Service (MaaS): A Paradigm Shift in Intelligent Transportation 121
P. Keerthika, P. Suresh, R. Manjula Devi and S. Savitha
4.1 Introduction 122
4.2 Working of Intelligent Transport Systems 124
4.3 Mobility as a Service in the Context of ITS 125
4.4 Functional Components of MaaS 128
4.5 Design Considerations for MaaS 134
4.6 MaaS Payment Systems 138
4.7 Technological Foundations of MaaS 144
4.8 Future Trends and Innovations 146
4.9 Conclusion 148
5 Green Energy Solutions for Sustainable Vehicular Technologies 153
Arpit Anil Panwar, Tamilselvan Ganesan, Desin Manan E., Dhanush R. and Niresh Jayarajan
5.1 Introduction 154
5.2 EV Charging: Standards and Protocols 154
5.3 Alternative Energy Sources and Fuels 155
5.4 Renewable Energy for Charging Infrastructure 162
5.5 Conclusion 169
6 Internet of Vehicle Things-Assisted Green Edge Computing: Path for Pollution Monitoring and Control 177
D. Balaji, V. Bhuvanewari and M. Priyadharshini
6.1 Introduction 178
6.2 Monitoring and Detection 182
6.3 Future Scope 184
6.4 Conclusion 197
7 Security and Privacy Issues in Vehicular Communication: A Blockchain-Based Approach 203
S. Muthu Lakshmi, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Mahmoud Ahmad Al-Khasawneh
7.1 Overview of VC (V2V, V2I, V2X) and Its Role in Smart Transportation Systems 204
7.2 Security and Privacy Challenges in VANETs 205
7.3 Blockchain Overview 206
7.4 Blockchain-Based Framework for VC 211
7.5 Blockchain Use Cases in VC Systems 215
7.6 Conclusion 223
8 Regulatory Standards and Policies in Shaping IoVT with Computational Intelligence 227
D. Balaji, V. Bhuvanewari and M. Priyadharshini
8.1 Introduction 228
8.2 Regulations for ITS with Computational Intelligence 231
8.3 Specific Standards for ITS with Computational Intelligence 233
8.4 Connected and Automated Vehicles with Computational Intelligence 235
8.5 European AI Act 238
8.6 Conclusion 242
9 Modern World of Travel Projection Smart-Sustainable Cities: Vehicular Ad Hoc Networks (VANETs) and Computational Intelligence for Revolutionizing Future of Transportation 247
Bhupinder Singh, Christian Kaunert and Saurabh Chandra
9.1 Introduction 248
9.2 VANETs: Functionality of VANETs 255
9.3 CI in Transportation 255
9.4 VANETs and CI: Synergy 257
9.5 Environmental Sustainability: Impact of Intelligent Transportation 258
9.6 Safety and Security in Smart-Sustainable Cities 260
9.7 Challenges in Implementation of VANETs and CI: Futuristic Transportation in Smart-Sustainable Cities 261
9.8 Conclusion 263
9.9 Future Scope 263
10 AI-Enabled Decision-Making and Predictive Analytics in Autonomous Vehicles 271
A. Reethika, P. Kanaga Priya, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Firoz Khan
10.1 Introduction 272
10.2 Literature Review 276
10.3 Background 278
10.4 Experimental Setup and Result of Phases 1 and 2 291
10.5 Conclusion 296
11 Reinforcement Learning in Autonomous Vehicle Control: Role of Machine Learning in Action 299
Malini S., Anusha N. and Bhuvaneswari M.
11.1 Introduction 300
11.2 ML in Autonomous Driving 308
11.3 Conclusion 332
12 Transformative Role of Artificial Intelligence in Empowering Decision-Making through Predictive Analytics for Autonomous Vehicles 341
R. Manjula Devi, P. Keerthika, Anusha N., M. Sangeetha and P. Suresh
12.1 Introduction 342
12.2 AI and Predictive Analytics: The Perfect Synergy 346
12.3 AI-Enabled Decision-Making Framework for AV System 348
12.4 Conclusion 362
13 Quantum Computing Implications on Internet of Vehicle Technologies 365
Gnanasankaran Natarajan, Sundaravadivazhagan Balasubramanian, Raja S. R. and Manjula Arumugam
13.1 Unveiling the Mystery: An Introduction to Quantum Computing 366
13.2 Cruising into the Future: A Deep Dive into Internet of Vehicles Technology 368
13.3 Merging Minds: The Powerful Convergence of Internet of Things and Quantum Computing 370
13.4 Instrumental Navigation 372
13.5 Implications of Quantum Computing over IoV Technology 374
13.6 Classic Encryption Techniques Utilized in IoV for Security Enhancements 376
13.7 Need of Quantum-Resistant Cryptographic Techniques in IoV 378
13.8 Communication Networks: A Key Component for IoV Technology 380
13.9 The Effective Use of Quantum Technologies into IoV Communication Frameworks the Overall Network Performance 383
13.10 Overall Challenges and Consideration in Integrating Quantum Computing with IoV 385
13.11 Conclusion and Future Scope 388
14 5G and B5G Networks: Algorithms, Architectures, and Implementations 391
Gopal S.B., Nanthiya D., Malathy Sathyamoorthy and Nithya Rekha Sivakumar
15 Revolutionizing Automotive Industry with Cloud-Based AI Analytics and IoT-Enabled Autonomous Vehicles 409
Suresh P., Keerthika P., Devendran K. and Savitha S.
15.1 Introduction 410
15.2 Cloud-Based AI Analytics in Automotive Industry 415
15.3 AI Technologies in Automotive Applications 416
15.4 IoT in Automotive Industry 417
15.5 Trends in Data Analytics and Automotive Industry 420
15.6 Types of Connectivity in AVs 423
15.7 Case Studies on AI-Based Analytics in the Automotive Industry 423
15.8 Conclusion 426
16 Agricultural Applications of UAVs: Precision Farming Challenges 431
Kiruthika J. K., Rajesh Kumar S., Saranya S., Geetha S. K. and Yawanikha T.
16.1 Introduction 432
16.2 Overview of UAV Technology 432
16.3 Precision Farming: Concepts and Technique 435
16.4 Applications of UAVs in Precision Farming 439
16.5 Challenges in Using UAVs for Precision Farming 441
16.6 Case Studies and Real-World Applications 446
16.7 Future Trends and Directions 450
16.8 Conclusion 453
17 Integrating Blockchain and IoV for Secure and Efficient Autonomous Mobility Solutions 459
Tamilselvan Ganesan, Puja Das, Niresh Jayarajan and Kirubakaran Ganesan
17.1 Introduction 460
17.2 Overview of IoV and Blockchain 461
17.3 Blockchain for IoV 472
17.4 Integration of ML and Blockchain for IoV 480
17.5 Conclusion 483
References 483
Index 487
1 Computational Intelligence and Internet of Vehicle Things: An Introduction 1
Akshya. J., Sundarrajan M., Mani Deepak Choudhry, Kirubhakaran M. and Reeba Rose L.
1.1 Introduction to Computational Intelligence in Internet of Vehicle Things 2
1.2 Evolution of Vehicle Communication and IoVT Frameworks 7
1.3 System Architecture for CI-Enabled IoVT Networks 11
1.4 Security, Privacy, and Trust Models in CI-Based IoVT 14
1.5 Performance Metrics and Benchmarking of CI-Driven IoVT Systems 17
1.6 Challenges and Future Trends in CI-Enabled IoVT 24
1.7 Conclusion and Research Directions 29
2 Internet of Things in Vehicular Technologies: Past, Present, and Future 35
Divya Joshi, Hemlata Gangwar, Md. Wazih and Pradeep Kumar Sharma
2.1 Introduction 36
2.2 The Past: Mechanical Vehicles to Early Electronic Systems 40
2.3 Current State of IoT in Vehicular Technologies 43
2.4 Current Framework and Design Issues of IoT 48
2.5 IoT-Enabled Applications in Vehicular Technologies 54
2.6 Security and Privacy Concerns 61
2.7 Emerging Technologies and Trends 67
2.8 Future Research Directions 75
2.9 Case Study 79
2.10 Conclusion 82
3 IoT-Based Network Architectures and Communication Protocols for UAV Communications 93
Anusha N., Malini S. and P. Suresh
3.1 Introduction 94
3.2 Classification of UAVs 97
3.3 IoT Architectures 101
3.4 IoT Communication Protocols for UAV 107
3.5 Conclusion 117
4 Mobility as a Service (MaaS): A Paradigm Shift in Intelligent Transportation 121
P. Keerthika, P. Suresh, R. Manjula Devi and S. Savitha
4.1 Introduction 122
4.2 Working of Intelligent Transport Systems 124
4.3 Mobility as a Service in the Context of ITS 125
4.4 Functional Components of MaaS 128
4.5 Design Considerations for MaaS 134
4.6 MaaS Payment Systems 138
4.7 Technological Foundations of MaaS 144
4.8 Future Trends and Innovations 146
4.9 Conclusion 148
5 Green Energy Solutions for Sustainable Vehicular Technologies 153
Arpit Anil Panwar, Tamilselvan Ganesan, Desin Manan E., Dhanush R. and Niresh Jayarajan
5.1 Introduction 154
5.2 EV Charging: Standards and Protocols 154
5.3 Alternative Energy Sources and Fuels 155
5.4 Renewable Energy for Charging Infrastructure 162
5.5 Conclusion 169
6 Internet of Vehicle Things-Assisted Green Edge Computing: Path for Pollution Monitoring and Control 177
D. Balaji, V. Bhuvanewari and M. Priyadharshini
6.1 Introduction 178
6.2 Monitoring and Detection 182
6.3 Future Scope 184
6.4 Conclusion 197
7 Security and Privacy Issues in Vehicular Communication: A Blockchain-Based Approach 203
S. Muthu Lakshmi, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Mahmoud Ahmad Al-Khasawneh
7.1 Overview of VC (V2V, V2I, V2X) and Its Role in Smart Transportation Systems 204
7.2 Security and Privacy Challenges in VANETs 205
7.3 Blockchain Overview 206
7.4 Blockchain-Based Framework for VC 211
7.5 Blockchain Use Cases in VC Systems 215
7.6 Conclusion 223
8 Regulatory Standards and Policies in Shaping IoVT with Computational Intelligence 227
D. Balaji, V. Bhuvanewari and M. Priyadharshini
8.1 Introduction 228
8.2 Regulations for ITS with Computational Intelligence 231
8.3 Specific Standards for ITS with Computational Intelligence 233
8.4 Connected and Automated Vehicles with Computational Intelligence 235
8.5 European AI Act 238
8.6 Conclusion 242
9 Modern World of Travel Projection Smart-Sustainable Cities: Vehicular Ad Hoc Networks (VANETs) and Computational Intelligence for Revolutionizing Future of Transportation 247
Bhupinder Singh, Christian Kaunert and Saurabh Chandra
9.1 Introduction 248
9.2 VANETs: Functionality of VANETs 255
9.3 CI in Transportation 255
9.4 VANETs and CI: Synergy 257
9.5 Environmental Sustainability: Impact of Intelligent Transportation 258
9.6 Safety and Security in Smart-Sustainable Cities 260
9.7 Challenges in Implementation of VANETs and CI: Futuristic Transportation in Smart-Sustainable Cities 261
9.8 Conclusion 263
9.9 Future Scope 263
10 AI-Enabled Decision-Making and Predictive Analytics in Autonomous Vehicles 271
A. Reethika, P. Kanaga Priya, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Firoz Khan
10.1 Introduction 272
10.2 Literature Review 276
10.3 Background 278
10.4 Experimental Setup and Result of Phases 1 and 2 291
10.5 Conclusion 296
11 Reinforcement Learning in Autonomous Vehicle Control: Role of Machine Learning in Action 299
Malini S., Anusha N. and Bhuvaneswari M.
11.1 Introduction 300
11.2 ML in Autonomous Driving 308
11.3 Conclusion 332
12 Transformative Role of Artificial Intelligence in Empowering Decision-Making through Predictive Analytics for Autonomous Vehicles 341
R. Manjula Devi, P. Keerthika, Anusha N., M. Sangeetha and P. Suresh
12.1 Introduction 342
12.2 AI and Predictive Analytics: The Perfect Synergy 346
12.3 AI-Enabled Decision-Making Framework for AV System 348
12.4 Conclusion 362
13 Quantum Computing Implications on Internet of Vehicle Technologies 365
Gnanasankaran Natarajan, Sundaravadivazhagan Balasubramanian, Raja S. R. and Manjula Arumugam
13.1 Unveiling the Mystery: An Introduction to Quantum Computing 366
13.2 Cruising into the Future: A Deep Dive into Internet of Vehicles Technology 368
13.3 Merging Minds: The Powerful Convergence of Internet of Things and Quantum Computing 370
13.4 Instrumental Navigation 372
13.5 Implications of Quantum Computing over IoV Technology 374
13.6 Classic Encryption Techniques Utilized in IoV for Security Enhancements 376
13.7 Need of Quantum-Resistant Cryptographic Techniques in IoV 378
13.8 Communication Networks: A Key Component for IoV Technology 380
13.9 The Effective Use of Quantum Technologies into IoV Communication Frameworks the Overall Network Performance 383
13.10 Overall Challenges and Consideration in Integrating Quantum Computing with IoV 385
13.11 Conclusion and Future Scope 388
14 5G and B5G Networks: Algorithms, Architectures, and Implementations 391
Gopal S.B., Nanthiya D., Malathy Sathyamoorthy and Nithya Rekha Sivakumar
15 Revolutionizing Automotive Industry with Cloud-Based AI Analytics and IoT-Enabled Autonomous Vehicles 409
Suresh P., Keerthika P., Devendran K. and Savitha S.
15.1 Introduction 410
15.2 Cloud-Based AI Analytics in Automotive Industry 415
15.3 AI Technologies in Automotive Applications 416
15.4 IoT in Automotive Industry 417
15.5 Trends in Data Analytics and Automotive Industry 420
15.6 Types of Connectivity in AVs 423
15.7 Case Studies on AI-Based Analytics in the Automotive Industry 423
15.8 Conclusion 426
16 Agricultural Applications of UAVs: Precision Farming Challenges 431
Kiruthika J. K., Rajesh Kumar S., Saranya S., Geetha S. K. and Yawanikha T.
16.1 Introduction 432
16.2 Overview of UAV Technology 432
16.3 Precision Farming: Concepts and Technique 435
16.4 Applications of UAVs in Precision Farming 439
16.5 Challenges in Using UAVs for Precision Farming 441
16.6 Case Studies and Real-World Applications 446
16.7 Future Trends and Directions 450
16.8 Conclusion 453
17 Integrating Blockchain and IoV for Secure and Efficient Autonomous Mobility Solutions 459
Tamilselvan Ganesan, Puja Das, Niresh Jayarajan and Kirubakaran Ganesan
17.1 Introduction 460
17.2 Overview of IoV and Blockchain 461
17.3 Blockchain for IoV 472
17.4 Integration of ML and Blockchain for IoV 480
17.5 Conclusion 483
References 483
Index 487