Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues.
Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.
1. Chapter 1 : Introduction to different computing paradigms: cloud computing, fog computing, and edge computing - p. Page ix 2. Chapter 2 : Supervised machine learning techniques to protect IoT healthcare environment against cyberattacks - p. Page 15 3. Chapter 3 : Design of a novel privacy preservation based cyber security system framework for secure medical data transactions in cloud storage - p. Page 31 4. Chapter 4 : IoT-based BIM integrated model for energy and water management in smart homes - p. Page 42 5. Chapter 5 : Reliable data sharing in medical cyber physical system using fog computing - p. Page 64 6. Chapter 6 : Secure medical image storage and retrieval for Internet of medical imaging things using blockchain-enabled edge computing - p. Page 81 7. Chapter 7 : Lane detection and path prediction in autonomous vehicle using deep learning - p. Page 109 8. Chapter 8 : Intelligent autopilot fire extinguishing robot - p. Page 126 9. Chapter 9 : Applicability of edge computing paradigm for Covid-19 mitigation - p. Page 148 10. Chapter 10 : Design and implementation of UWB-based cyber-physical system for indoor localization in an industry environment - p. Page 164 11. Chapter 11 : Application of intelligent edge computing and machine learning algorithms in MBTI personality prediction - p. Page 183 12. Chapter 12 : Techniques applied to increase soil fertility in smart agriculture - p. Page 213 13. Index - p. Page 226
Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues.
Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.
1. Chapter 1 : Introduction to different computing paradigms: cloud computing, fog computing, and edge computing - p. Page ix 2. Chapter 2 : Supervised machine learning techniques to protect IoT healthcare environment against cyberattacks - p. Page 15 3. Chapter 3 : Design of a novel privacy preservation based cyber security system framework for secure medical data transactions in cloud storage - p. Page 31 4. Chapter 4 : IoT-based BIM integrated model for energy and water management in smart homes - p. Page 42 5. Chapter 5 : Reliable data sharing in medical cyber physical system using fog computing - p. Page 64 6. Chapter 6 : Secure medical image storage and retrieval for Internet of medical imaging things using blockchain-enabled edge computing - p. Page 81 7. Chapter 7 : Lane detection and path prediction in autonomous vehicle using deep learning - p. Page 109 8. Chapter 8 : Intelligent autopilot fire extinguishing robot - p. Page 126 9. Chapter 9 : Applicability of edge computing paradigm for Covid-19 mitigation - p. Page 148 10. Chapter 10 : Design and implementation of UWB-based cyber-physical system for indoor localization in an industry environment - p. Page 164 11. Chapter 11 : Application of intelligent edge computing and machine learning algorithms in MBTI personality prediction - p. Page 183 12. Chapter 12 : Techniques applied to increase soil fertility in smart agriculture - p. Page 213 13. Index - p. Page 226
