Advances in Fog Computing and the Internet of Things for Smart Healthcare delves into the transformative impact of fog computing and IoT on modern healthcare systems. This comprehensive guide educates researchers and graduate students on the fundamental concepts of these technologies, illustrating their practical applications in healthcare. Real-world use cases showcase the technologies' ability to enhance patient monitoring and personalized medicine. The book also addresses significant challenges such as privacy, security, data management, and regulatory compliance, providing strategies for overcoming them.
Alongside its companion book, Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, this volume empowers various industries to leverage IoT technologies while optimizing performance and system efficiency. It highlights the crucial role of fog computing in processing data closer to the source, ensuring faster and more efficient data processing and contributing to the creation of effective IoT ecosystems. This synergy between fog computing and IoT facilitates smarter applications and services, advancing the landscape of healthcare with more efficient, personalized, and accessible services.
1. Cover image - p. c 2. Title page - p. i 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xi 6. Biography - p. xv 7. Preface - p. xvii 8. Acknowledgments - p. xxi 9. Chapter 1 Introductory chapter - p. 1 10. Chapter 2 An intelligent framework to secure fog computer and IoT service applications using artificial intelligence/machine learning - p. 27 11. Chapter 3 Optimization schemes for fog computing and internet of things in smart healthcare systems - p. 55 12. Chapter 4 An intelligent healthcare framework for automated disease diagnosis using ensemble deep learning in internet of things-integrated fog computing environments - p. 73 13. Chapter 5 A smart internet of medical things healthcare framework using machine learning classifier in fog processing system - p. 99 14. Chapter 6 Applications of fog computing, internet of things, and cloud computing in healthcare multilayer networks - p. 115 15. Chapter 7 A zero trust security framework for fog-enabled internet of things (IoT) environment - p. 137 16. Chapter 8 Sensor network and blockchain platform for the future smart healthcare system - p. 175 17. Chapter 9 Fog-IoT architecture with blockchain integrated model for electronic health records in healthcare systems - p. 185 18. Chapter 10 Fog computing and internet of things technology enabled with artificial intelligence for healthcare - p. 211 19. Chapter 11 An enhanced hyperparameter optimization artificial intelligence model enabled with fog computing and lnternet of things in a smart healthcare system - p. 233 20. Chapter 12 Fog computing and internet of things technology for throughput and latency in the smart sensor network - p. 249 21. Chapter 13 Federated learning based approaches for edge-enabled networking in healthcare - p. 281 22. Chapter 14 Regulatory policies for smart healthcare systems and data protection using artificial intelligence and blockchain technology - p. 295 23. Chapter 15 Real world applications of fog computing and internet of things implementation in healthcare - p. 313 24. Chapter 16 Digital twin for smart wireless sensor networks - p. 327 25. Chapter 17 Fog computing and internet of things technology in hospital information systems management - p. 343 26. Chapter 18 Explore the collaboration of fog computing and internet of things for innovative transformative impact in healthcare systems - p. 361 27. Chapter 19 Overview of fog computing and IoT-based technology security and smart healthcare systems - p. 383 28. Chapter 20 Integrating wireless biomedical devices and blockchain for enhanced smart healthcare and data security - p. 399 29. Chapter 21 Fundamentals of fog computing and the internet of things for smart healthcare - p. 425 30. Index - p. 451
Advances in Fog Computing and the Internet of Things for Smart Healthcare delves into the transformative impact of fog computing and IoT on modern healthcare systems. This comprehensive guide educates researchers and graduate students on the fundamental concepts of these technologies, illustrating their practical applications in healthcare. Real-world use cases showcase the technologies' ability to enhance patient monitoring and personalized medicine. The book also addresses significant challenges such as privacy, security, data management, and regulatory compliance, providing strategies for overcoming them.
Alongside its companion book, Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, this volume empowers various industries to leverage IoT technologies while optimizing performance and system efficiency. It highlights the crucial role of fog computing in processing data closer to the source, ensuring faster and more efficient data processing and contributing to the creation of effective IoT ecosystems. This synergy between fog computing and IoT facilitates smarter applications and services, advancing the landscape of healthcare with more efficient, personalized, and accessible services.
1. Cover image - p. c 2. Title page - p. i 3. Copyright - p. iv 4. Contents - p. v 5. Contributors - p. xi 6. Biography - p. xv 7. Preface - p. xvii 8. Acknowledgments - p. xxi 9. Chapter 1 Introductory chapter - p. 1 10. Chapter 2 An intelligent framework to secure fog computer and IoT service applications using artificial intelligence/machine learning - p. 27 11. Chapter 3 Optimization schemes for fog computing and internet of things in smart healthcare systems - p. 55 12. Chapter 4 An intelligent healthcare framework for automated disease diagnosis using ensemble deep learning in internet of things-integrated fog computing environments - p. 73 13. Chapter 5 A smart internet of medical things healthcare framework using machine learning classifier in fog processing system - p. 99 14. Chapter 6 Applications of fog computing, internet of things, and cloud computing in healthcare multilayer networks - p. 115 15. Chapter 7 A zero trust security framework for fog-enabled internet of things (IoT) environment - p. 137 16. Chapter 8 Sensor network and blockchain platform for the future smart healthcare system - p. 175 17. Chapter 9 Fog-IoT architecture with blockchain integrated model for electronic health records in healthcare systems - p. 185 18. Chapter 10 Fog computing and internet of things technology enabled with artificial intelligence for healthcare - p. 211 19. Chapter 11 An enhanced hyperparameter optimization artificial intelligence model enabled with fog computing and lnternet of things in a smart healthcare system - p. 233 20. Chapter 12 Fog computing and internet of things technology for throughput and latency in the smart sensor network - p. 249 21. Chapter 13 Federated learning based approaches for edge-enabled networking in healthcare - p. 281 22. Chapter 14 Regulatory policies for smart healthcare systems and data protection using artificial intelligence and blockchain technology - p. 295 23. Chapter 15 Real world applications of fog computing and internet of things implementation in healthcare - p. 313 24. Chapter 16 Digital twin for smart wireless sensor networks - p. 327 25. Chapter 17 Fog computing and internet of things technology in hospital information systems management - p. 343 26. Chapter 18 Explore the collaboration of fog computing and internet of things for innovative transformative impact in healthcare systems - p. 361 27. Chapter 19 Overview of fog computing and IoT-based technology security and smart healthcare systems - p. 383 28. Chapter 20 Integrating wireless biomedical devices and blockchain for enhanced smart healthcare and data security - p. 399 29. Chapter 21 Fundamentals of fog computing and the internet of things for smart healthcare - p. 425 30. Index - p. 451
