Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analyzed, and used to improve services and increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain.
Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications.
1. Part 1: Introduction to digital twins - p. P1 2. Chapter 1. Digital twins: an overview of the present with highlights of the future - p. 3 3. Chapter 2. Digital twins: strategic and methodological aspects - p. 19 4. Chapter 3. Key technologies of digital twins - p. 33 5. Chapter 4. Core components of digital twins: applications and challenges - p. 47 6. Chapter 5. Digital twins towards cyber-physical systems - p. 63 7. Part 2: Data acquisition - p. P77 8. Chapter 6. Fundamentals of smart sensors - p. 79 9. Chapter 7. Integration of sensors/networks to digital twins - p. 93 10. Chapter 8. Digital twins in advanced robotics - p. 105 11. Part 3: Data exchange, transmission, and security - p. P125 12. Chapter 9. Digital twin networks - p. 127 13. Abstract - p. 127 14. 9.1 Introduction - p. 127 15. 9.2 Related work - p. 129 16. 9.3 System model and problem formulation - p. 129 17. 9.4 A two-timescale online optimization approach - p. 135 18. 9.5 Simulation results - p. 145 19. 9.6 Conclusion - p. 148 20. References - p. 149 21. Chapter 10. Digital twin technology for 6G network - p. 151 22. Chapter 11. Internet of Things in digital twins - p. 163 23. Chapter 12. Architectures and authentication processes during data communication in the Internet of Things - p. 175 24. Chapter 13. Digital twin and advanced multimedia services - p. 195 25. Chapter 14. Digital twin for short video streaming optimization - p. 211 26. Chapter 15. Digital twins for security certification - p. 227 27. Chapter 16. Security risks and privacy challenges in digital twins - p. 239 28. Part 4: Data computing - p. P253 29. Chapter 17. Cloud computing for digital twin: empowering smart transportation cyber-physical system with deep reinforcement learning - p. 255 30. Chapter 18. Fog computing for digital twin: supporting Internet of Things–enabled smart cyber-physical systems - p. 273 31. Chapter 19. Edge computing for digital twins - p. 295 32. Chapter 20. Quantum computing home digital twin: bridging theory and accessible practice - p. 319 33. Part 5: Artificial intelligence and digital twins - p. P331 34. Chapter 21. The role of artificial intelligence in enhancing digital twins - p. 333 35. Chapter 22. Artificial intelligence and digital twin technology for security certification - p. 349 36. Chapter 23. Ethical considerations and challenges of artificial intelligence in digital twins - p. 361 37. Chapter 24. Evolution of digital twin technology: future trends in artificial intelligence - p. 375 38. Chapter 25. Future trends of artificial intelligence and the evolution of digital twins - p. 391 39. Part 6: Emerging applications of and digital twins - p. P405 40. Chapter 26. Digital twins for agriculture, with space vantage outlook - p. 407 41. Chapter 27. Digital twin applications in industrial robotics and cyber-physical systems - p. 425 42. Chapter 28. Evaluation of digital twin identicality in intelligent connected autonomous vehicles using energy consumption optimization - p. 445 43. Chapter 29. Digital twin enabling flexible and sustainable human–robot collaboration - p. 465 44. Chapter 30. Digital twins for cyber-physical systems - p. 477 45. Chapter 31. Real-time digital twins and datasets for intelligent traffic systems - p. 495 46. Chapter 32. Digital twin in Real-Time using low-cost microcontrollers for manufacturing - p. 515 47. Index - p. 561
Foundations of Digital Twins explains the fundamentals of digital twins, how digital twin technologies can gather real world data using the sensor networks that comprise the Internet of Things, and how that data can be sorted, analyzed, and used to improve services and increase sustainability. Structured in five sections, the book begins with an introductory overview of each technology, establishing a clear understanding of their individual roles and their potential when combined. The second section delves into data acquisition, featuring advanced sensors, drones, robots and actuators. Part Three considers data exchange and security, focusing on CPS, the internet of things, and blockchain.
Part Four looks at how digital twins can impact on data computing, such as video streaming, cloud computing, fog computing and edge-computing. The final section explores the future opportunities and risks of adopting advanced technologies in this evolving field, including artificial intelligence, the ethical issues concerned when collecting and using data, and the security implications.
1. Part 1: Introduction to digital twins - p. P1 2. Chapter 1. Digital twins: an overview of the present with highlights of the future - p. 3 3. Chapter 2. Digital twins: strategic and methodological aspects - p. 19 4. Chapter 3. Key technologies of digital twins - p. 33 5. Chapter 4. Core components of digital twins: applications and challenges - p. 47 6. Chapter 5. Digital twins towards cyber-physical systems - p. 63 7. Part 2: Data acquisition - p. P77 8. Chapter 6. Fundamentals of smart sensors - p. 79 9. Chapter 7. Integration of sensors/networks to digital twins - p. 93 10. Chapter 8. Digital twins in advanced robotics - p. 105 11. Part 3: Data exchange, transmission, and security - p. P125 12. Chapter 9. Digital twin networks - p. 127 13. Abstract - p. 127 14. 9.1 Introduction - p. 127 15. 9.2 Related work - p. 129 16. 9.3 System model and problem formulation - p. 129 17. 9.4 A two-timescale online optimization approach - p. 135 18. 9.5 Simulation results - p. 145 19. 9.6 Conclusion - p. 148 20. References - p. 149 21. Chapter 10. Digital twin technology for 6G network - p. 151 22. Chapter 11. Internet of Things in digital twins - p. 163 23. Chapter 12. Architectures and authentication processes during data communication in the Internet of Things - p. 175 24. Chapter 13. Digital twin and advanced multimedia services - p. 195 25. Chapter 14. Digital twin for short video streaming optimization - p. 211 26. Chapter 15. Digital twins for security certification - p. 227 27. Chapter 16. Security risks and privacy challenges in digital twins - p. 239 28. Part 4: Data computing - p. P253 29. Chapter 17. Cloud computing for digital twin: empowering smart transportation cyber-physical system with deep reinforcement learning - p. 255 30. Chapter 18. Fog computing for digital twin: supporting Internet of Things–enabled smart cyber-physical systems - p. 273 31. Chapter 19. Edge computing for digital twins - p. 295 32. Chapter 20. Quantum computing home digital twin: bridging theory and accessible practice - p. 319 33. Part 5: Artificial intelligence and digital twins - p. P331 34. Chapter 21. The role of artificial intelligence in enhancing digital twins - p. 333 35. Chapter 22. Artificial intelligence and digital twin technology for security certification - p. 349 36. Chapter 23. Ethical considerations and challenges of artificial intelligence in digital twins - p. 361 37. Chapter 24. Evolution of digital twin technology: future trends in artificial intelligence - p. 375 38. Chapter 25. Future trends of artificial intelligence and the evolution of digital twins - p. 391 39. Part 6: Emerging applications of and digital twins - p. P405 40. Chapter 26. Digital twins for agriculture, with space vantage outlook - p. 407 41. Chapter 27. Digital twin applications in industrial robotics and cyber-physical systems - p. 425 42. Chapter 28. Evaluation of digital twin identicality in intelligent connected autonomous vehicles using energy consumption optimization - p. 445 43. Chapter 29. Digital twin enabling flexible and sustainable human–robot collaboration - p. 465 44. Chapter 30. Digital twins for cyber-physical systems - p. 477 45. Chapter 31. Real-time digital twins and datasets for intelligent traffic systems - p. 495 46. Chapter 32. Digital twin in Real-Time using low-cost microcontrollers for manufacturing - p. 515 47. Index - p. 561
