Buch, Englisch, 336 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 626 g
Buch, Englisch, 336 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 626 g
ISBN: 978-1-83669-040-5
Verlag: John Wiley & Sons
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 analysed 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.
Driving Innovation through AI and Digital Twin for 6G Powered Sustainable Ultra Smart Cities 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.
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Preface xv
Ashu TANEJA, Abhishek KUMAR, Suresh Vishnudas LIMKAR, Mariya OUAISSA and Mariyam OUAISSA
Chapter 1. Navigating Artificial Intelligence and Digital Twin for Smart Cities 1
Wasswa SHAFIK
1.1. Introduction 2
1.2. Artificial intelligence in smart cities 4
1.3. Digital twin technology 8
1.4. Understanding the role of artificial intelligence in smart cities 11
1.5. The role of digital twin technologies in smart cities 14
1.6. Integration of AI and digital twin in smart cities 17
1.7. Challenges and future directions 19
1.8. Conclusion 22
1.9. Reference 23
Chapter 2. Smart City Development in 6G Era: Synergizing AI and Digital Twin Technology 27
Raj Kishor VERMA and Ahmed A. ELNGAR
2.1. Introduction 28
2.2. Literature review/related work 43
2.3. Proposed diagram 45
2.4. Conclusion 50
2.5. Future and scope 51
2.6. Challenges 52
2.7. References 53
Chapter 3. AI and Digital Twin for Smart Cities 55
Latha P, Geetha S, M. VAIDHEHI, Nalina Keerthana G and Muthu Selvi C
3.1. Introduction 56
3.2. Digital twin security 58
3.3. Advancing AI-driven digital twins 59
3.4. Systematic review of the research foundations 60
3.5. Understanding digital twins in a smart city context 61
3.6. The role of AI in enhancing digital twins 62
3.7. Understanding AI and digital twin technologies 63
3.8. AI-driven energy management in smart cities 63
3.9. AI and digital twins in smart cities 65
3.10. Foundations of AI and digital twin technologies 65
3.11. Technology for digital twins 66
3.12. Personalizing city services through AI 66
3.13. Interplay between AI and digital twins in urban environments 67
3.14. AI for urban planning and policy decisions 67
3.15. Ethical considerations and data privacy in smart cities 68
3.16. Understanding artificial intelligence in urban contexts 68
3.17. Urban landscape virtual models 70
3.18. Improving public safety and emergency response 70
3.19. AI for waste management 70
3.20. AI for urban planning and policy decisions 71
3.21. The societal impact of artificial intelligence and digital twins in urban environments 71
3.22. Applications in smart city domains 72
3.23. AI and digital twin 75
3.24. Smart medical 76
3.25. Smart agriculture 77
3.26. Case studies 79
3.27. Applications and benefits 80
3.28. Benefits and challenges 81
3.29. Case study: how the public views and accepts AI in smart cities 81
3.30. The future of AI in smart cities emerging trends and opportunities 82
3.31. Future prospects and research directions 83
3.32. Conclusion 83
3.33. References 83
Chapter 4. Security Solutions for Smart Cities Using Digital Twin 89
Shubham GUPTA and Ferdinand M. MAGTIBAY
4.1. Overview of smart cities 89
4.2. Understanding digital twin technology 96
4.3. Security threats in smart cities and digital twins 101
4.4. Digital twin-based security solutions for smart cities 105
4.5. Case studies and real-world implementations 110
4.6. Challenges and future directions 113
4.7. Conclusion 116
4.8. References 117
Chapter 5. Building Sustainable Urban Futures with AI and Digital Twins 119
Dhruv Kumar SONI and Ashu TANEJA
5.1. Introduction 119
5.2. The synergy between AI and digital twins 124
5.3. Role of AI in sustainable smart cities 127
5.4. Case studies and real-world applications 128
5.5. Integration with emerging technologies 129
5.6. Challenges and ethical considerations 131
5.7. Future directions 131
5.8. Conclusion 132
5.9. References 133
Chapter 6. Enhancing Urban Efficiency with AI and Digital Twin Technologies in Smart City Infrastructure 139
Sanjivani Hemant KULKARNI, Vipan KUMAR, Anupam KANWAR, Priya DASARWAR, Monali GULHANE, Nitin RAKESH and Utku KOSE
6.1. Introduction 140
6.2. Theoretical background 142
6.3. Framework and implementation 144
6.4. Applications of AI and digital twins in smart cities 147
6.5. Results and discussion 150
6.6. Future trends and innovations 156
6.7. Conclusion 158
6.8. References 158
Chapter 7. Toward Smart Healthcare in Digital Twin Featuring AI for Innovation in Smart Cities and Sustainability 161
Bhupinder SINGH, Ashima JAIN and Christian KAUNERT
7.1. Introduction 161
7.2. DT in personalized medicine 169
7.3. DT in precision medicine 171
7.4. Conclusion 178
7.5. Future scope 179
7.6. References 180
Chapter 8. Toward Smart Healthcare in Digital Twin for 6G-Powered Sustainable Ultra-Smart Cities 183
M. VAIDHEHI, C. MALATHY, Pradeep SUDHAKARAN, Aswathy K. CHERIAN, R. GEETHA and Guntupalli Manoj KUMAR
8.1. Introduction 183
8.2. DT in healthcare 186
8.3. Healthcare systems by 6G 190
8.4. Sustainable ultra-smart cities and healthcare 193
8.5. Challenges and opportunities 199
8.6. Future trends and research directions 203
8.7. Conclusion 207
8.8. References 208
Chapter 9. Smart Patient Monitoring using Wearable Devices: Applications and Future Scope 211
Garima CHOPRA, Suhaib AHMED and Shubham GUPTA
9.1. Introduction 211
9.2. Wearable devices for healthcare monitoring 214
9.3. Applications of wearable devices in healthcare sector 220
9.4. Case study on wearable devices for the healthcare industry 228
9.5. Limitations and challenges 229
9.6. Future trends and scope of wearable healthcare monitoring 230
9.7. Conclusion 232
9.8. References 233
Chapter 10. Toward Smart Healthcare in the Digital Twin Ecosystem: Architecture, Challenges and Implementation 237
MAMTA and Shravya Reddy KARRI
10.1. Introduction 238
10.2. Digital twin architecture for smart healthcare 240
10.3. Applications of digital twin in healthcare 242
10.4. Challenges in implementing digital twin for healthcare 248
10.5. Conclusion 252
10.6. Future directions and opportunities 254
10.7. Conclusion of the chapter 257
10.8. Final thoughts 258
10.9. References 259
Chapter 11. Revolutionizing Smart Healthcare: Implementing Digital Twin Technology for Personalized Medical Solutions 265
Prashant WAKHARE, Anagha SHINDE, Navnath B. POKALE and Akanksha GOEL
11.1. Introduction 266
11.2. Background and literature review 268
11.3. Architecture of smart healthcare in the digital twin ecosystem 271
11.4. Challenges in implementing digital twin in healthcare 275
11.5. Implementation strategies for smart healthcare using digital twin 277
11.6. Future directions and emerging trends 278
11.7. Results and discussion 280
11.8. Conclusion 284
11.9. References 284
List of Authors 287
Index 291