6G Urban Innovation

1. Auflage 2025
ISBN: 978-1-83669-065-8
Verlag: John Wiley & Sons

Buch, Englisch, 240 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 508 g

This book presents the 6G powered integration of Artificial Intelligence (AI) and Digital Twin (DT) technology for sustainable smart cities. In the context of smart cities, 6G, AI and DT hold enormous potential for transformation by boosting city infrastructure and planning, streamlining healthcare facilities, and improving transportation. 6G offers high speed and low latency seamless transfer of vast amounts of data which, when analyzed with sophisticated AI models, enhance the decision-making capabilities for smart city infrastructure and urban planning. DT technology, through continuous monitoring and virtual modeling of urban ecosystems, enables predictive maintenance for energy distribution, water management and waste management in a smart city landscape for environmental sustainability.

6G Urban Innovation covers the 6G technological innovations, trends and concerns, as well as practical challenges encountered in the implementation of AI and DT for transforming smart cities for a sustainable future.

Autoren/Hrsg.

Taneja, Ashu

Kumar, Abhishek

Vishnudas Limkar, Suresh

Ouaissa, Mariya

Ouaissa, Mariyam

Fachgebiete

• Geisteswissenschaften Architektur Städtebau, Stadtplanung (Architektur)
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze

Inhaltsverzeichnis

Preface xiii
Ashu TANEJA, Abhishek KUMAR, Suresh Vishnudas LIMKAR, Mariya OUAISSA and Mariyam OUAISSA

Chapter 1. AI-Enabled Energy Management in Mobile Wireless Sensor Network for 6G Internet-of-Things (IoT) 1
Bhanu Partap SINGH, Lav SONI and Ashu TANEJA

1.1. Introduction 1
1.2. 6G IoT: a new frontier for MWSNs 2
1.3. Energy management challenges in 6G IoT MWSNs 6
1.4. AI and machine learning for energy management in 6G IoT MWSNs 9
1.5. Cutting-edge research and emerging trends 14
1.6. AI-driven energy harvesting and wireless power transfer 17
1.7. Conclusion 20
1.8. References 20

Chapter 2. Security Solutions for Smart Cities Using Digital Twin 25
Sulakshana MALWADE, SHIKHA, Mandeep KAUR, Vibhuti REHALIA, Kimmi VERMA, Anupma GUPTA and Mohammad Alamgir HOSSAIN

2.1. Introduction 25
2.2. Understanding digital twin technology 27
2.3. Security challenges in smart cities 31
2.4. Integrating digital twin for security solutions 33
2.5. Applications of digital twin in smart city security 34
2.6. Privacy and ethical considerations 36
2.7. Technological challenges and solutions 37
2.8. Results and discussion 39
2.9. Conclusion 44
2.10. References 44

Chapter 3. Security Solutions for Smart Cities Using Digital Twin: A DevOps Approach in the Era of 6G Powered Ultra-Smart Cities 47
C.V. Suresh BABU and Logapadmini B.

3.1. Introduction 47
3.2. Background information 49
3.3. Relevance to the edited book’s theme 50
3.4. Key questions or problems addressed 51
3.5. Objectives and scope 53
3.6. Literature review 55
3.7. Methodology 56
3.8. Discussion of analysis and findings 58
3.9. Suggestions and recommendations 59
3.10. Future scope for research 60
3.11. Conclusion 61
3.12. References 62

Chapter 4. Convergence of Twin Technology with AI for Secure 6G Communication 65
Srinibas PATTANAIK, Jasneet KAUR, Sachin AHUJA, Sartajvir Singh DHILLON and Alessandro VINCIARELLI

4.1. Introduction 65
4.2. Comprehension of twins’ technology 67
4.3. Application of twin technology with AI network security 69
4.4. Network analysis and intelligence of prediction 69
4.5. AI 6G communication infrastructure and security constraints 69
4.6. Development and implement for AI-twin connectivity 70
4.7. Security and privacy in the AI 6G technology 72
4.8. Conclusion 74
4.9. References 75

Chapter 5. AI-driven digital Twin Framework for Securing 6G Networks: Overarching Challenges and the Way Forward 77
Pasham SOWMYA, T. Monika SINGH and C. Kishor Kumar REDDY

5.1. Introduction 77
5.2. Evolution of digital twin technology in telecommunications 80
5.3. Architectural foundations of AI-driven digital twins 82
5.4. Security challenges in 6G networks 84
5.5. Role of AI in securing 6G networks 87
5.6. Digital twin framework for 6G security 89
5.7. Ethical and privacy considerations 91
5.8. Potential benefits of AI-driven digital twins in 6G 92
5.9. Challenges and risks in implementing AI-driven digital twins 93
5.10. Future directions and innovations 95
5.11. References 98

Chapter 6. Harnessing Artificial Intelligence and Digital Twin Technologies for Sustainable Agripreneurship: A Path Toward Smart Agriculture 107
A. IYAPPAN, G. ILANKUMARAN and Tripuraneni JAGGAIAH

6.1. Introduction 107
6.2. Role of AI and Digital Twin in sustainable agripreneurship 110

6.3. Challenges in implementing AI and digital twins for sustainability 116
6.4. Overcoming the challenges 118
6.5. Practical applications of harnessing artificial intelligence and digital twin technologies for sustainable
agripreneurship 119
6.6. Conclusion 120
6.7. References 120

Chapter 7. Role of AI and Digital Twin for Smart Transportation 123
Ritesh Gangasingh BAIS, Vipan KUMAR, Manjushri JOSHI, Jainender SHARMA, Pradnya BORKAR and Mohammad Alamgir HOSSAIN

7.1. Introduction 123
7.2. Related work 125
7.3. Foundational concepts 127
7.4. AI-driven technologies in transportation 129
7.5. DT implementation in transportation. 131
7.6. Data analysis and results 133
7.7. Integrating AI and DT for enhanced mobility 138
7.8. Conclusion 140
7.9. References 140

Chapter 8. 6G-enabled Digital Twin for Smart Transportation 143
Prashant WAKHARE, Pritesh PATIL, Anuradha Amar BAKARE, Rajshri NIKAM, Vipan KUMAR, Yamini SOOD and Utku KOSE

8.1. Introduction 144
8.2. Literature review 146
8.3. 6G technology overview 149
8.4. Digital twin concept for smart transportation 154
8.5. Result and discussion 156
8.6. Conclusion 160
8.7. References 161

Chapter 9. Digital Twins Supercharges Efficiency-Unlocking the Power of Industry 5.0 163
T. Shirley DEVAKIRUBAI

9.1. Introduction 163
9.2. Review of literature 165
9.3. Research questions 166
9.4. VR and AR prototyping and innovation in Industry 5.0 166
9.5. VR and AR technologies in product customization and personalization 168
9.6. VR and AR technologies changing training and development 170
9.7. Conclusion 171
9.8. References 172

Chapter 10. Role of AI and Digital Twin in Industry 5.0 179
Harashleen KOUR, Shubham GUPTA and Osamah Ibrahim KHALAF

10.1. Introduction 179
10.2. Importance of AI and DT in Industry 5.0 181
10.3. Fundamentals of AI and DT in Industry 5.0 181
10.4. Applications of AI and DT in Industry 5.0 187
10.5. Enabling technologies for AI and DT in Industry 5.0 190
10.6. Challenges and limitations 193
10.7. Future trends and research directions 195
10.8. Case studies and real-world implementations 197
10.9. Conclusion 199
10.10. References 200

List of Authors 203
Index 207

Über Autor(innen)

Ashu Taneja is Associate Professor at the Centre for Research Impact and Outcome (CRIO), Chitkara University, India.

Abhishek Kumar is a Senior Member of IEEE and works as Assistant Director and Professor in the Computer Science & Engineering Department at Chandigarh University, India.

Suresh Vishnudas Limkar is Assistant Professor at the Department of Computer Science and Engineering at the Central University of Jammu, India.

Mariya Ouaissa is Professor of Cybersecurity and Networks at the Faculty of Sciences Semlalia, Cadi Ayyad University, Morocco.

Mariyam Ouaissa is Assistant Professor of Networks and Systems at ENSA, Chouaib Doukkali University, Morocco.