Intelligent IoT for the Digital World : Incorporating 5G Communications and Fog/Edge Computing Technologies / Yang Yang, ShanghaiTech University and Peng Cheng Lab, China, Xu Chen, Sun Yat-sen University, China, Rui Tan, Nanyang Technological University, Singapore, Yong Xiao, Huazhong University of Science and Technology, China

ABOUT THE AUTHORs
YANG YANG,PhD,(SM'IEEE) is a professor with Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, serving as the Director of CAS Key Laboratory of Wireless Sensor Network and Communication, and the Director of Shanghai Research Center for Wireless Communications (WiCO). He is also a Distinguished Adjunct Professor with the School of Information Science and Technology, ShanghaiTech University, serving as a Co-Director of Shanghai Institute of Fog Computing Technology(SHIFT).
WUXIONG ZHANG,PhD,is an associate professor at Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences. He has presided / participated in tens of important research project, including projects funded by the national natural science foundation of China, the national science and technology major projects, projects funded by the Shanghai Municipal Science and Technology Commission.

XIANLIANG LIU,PhD,is currently deputy director general of Construction and Administration Bureau of South-to-North Water Diversion Middle Route Project, in charge of the technique department. He enjoys special government allowances of the state council, and has received a number of scientific research funding/prizes by the ministry of water resources and science and technology commission of Henan province.

Includes bibliographical references and index.

TABLE OF CONTENTS
Preface ix

Acknowledgments xvii

Acronyms xix

1 IoT Technologies and Applications 1

1.1 Introduction 1

1.2 Traditional IoT Technologies 3

1.2.1 Traditional IoT System Architecture 3

1.2.2 IoT Connectivity Technologies and Protocols 7

1.3 Intelligent IoT Technologies 27

1.3.1 Data Collection Technologies 29

1.3.2 Computing Power Network 36

1.3.3 Intelligent Algorithms 39

1.4 Typical Applications 42

1.4.1 Environmental Monitoring 42

1.4.2 Public Safety Surveillance 42

1.4.3 Military Communication 44

1.4.4 Intelligent Manufacturing and Interactive Design 46

1.4.5 Autonomous Driving and Vehicular Networks 47

1.5 Requirements and Challenges for Intelligent IoT Services 48

1.5.1 A Generic and Flexible Multi-tier Intelligence IoT Architecture 48

1.5.2 Lightweight Data Privacy Management in IoT Networks 49

1.5.3 Cross-domain Resource Management for Intelligent IoT Services 50

1.5.4 Optimization of Service Function Placement, QoS, and Multi-operator Network Sharing for Intelligent IoT Services 50

1.5.5 Data Time stamping and Clock Synchronization Services for Wide-area IoT Systems 51

1.6 Conclusion 52

References 52

2 Computing and Service Architecture for Intelligent IoT 61

2.1 Introduction 61

2.2 Multi-tier Computing Networks and Service Architecture 62

2.2.1 Multi-tier Computing Network Architecture 63

2.2.2 Cost Aware Task Scheduling Framework 65

2.2.3 Fog as a Service Technology 69

2.3 Edge-enabled Intelligence for Industrial IoT 74

2.3.1 Introduction and Background 74

2.3.2 Boomerang Framework 79

2.3.3 Performance Evaluation 83

2.4 Fog-enabled Collaborative SLAM of Robot Swarm 85

2.4.1 Introduction and Background 85

2.4.2 A Fog-enabled Solution 87

2.5 Conclusion 93

References 94

3 Cross-Domain Resource Management Frameworks 97

3.1 Introduction 97

3.2 Joint Computation and Communication Resource Management for Delay-Sensitive Applications 99

3.2.1 2C Resource Management Framework 101

3.2.2 Distributed Resource Management Algorithm 104

3.2.3 Delay Reduction Performance 107

3.3 Joint Computing, Communication, and Caching Resource Management for Energy-efficient Applications 113

3.3.1 Fog-enabled 3C Resource Management Framework 116

3.3.2 Fog-enabled 3C Resource Management Algorithm 121

3.3.3 Energy Saving Performance 127

3.4 Case Study: Energy-efficient Resource Management in Tactile Internet 131

3.4.1 Fog-enabled Tactile Internet Architecture 133

3.4.2 Response Time and Power Efficiency Trade-off 135

3.4.3 Cooperative Fog Computing 137

3.4.4 Distributed Optimization for Cooperative Fog Computing 139

3.4.5 A City-wide Deployment of Fog Computing-supported Self-driving Bus System 140

3.5 Conclusion 144

References 145

4 Dynamic Service Provisioning Frameworks 149

4.1 Online Orchestration of Cross-edge Service Function Chaining 149

4.1.1 Introduction 149

4.1.2 Related Work 151

4.1.3 System Model for Cross-edge SFC Deployment 152

4.1.4 Online Optimization for Long-term Cost Minimization 157

4.1.5 Performance Analysis 162

4.1.6 Performance Evaluation 165

4.1.7 Future Directions 169

4.2 Dynamic Network Slicing for High-quality Services 170

4.2.1 Service and User Requirements 170

4.2.2 Related Work 173

4.2.3 System Model and Problem Formulation 174

4.2.4 Implementation and Numerical Results 176

4.3 Collaboration of Multiple Network Operators 180

4.3.1 Service and User Requirements 181

4.3.2 System Model and Problem Formulation 182

4.3.3 Performance Analysis 187

4.4 Conclusion 189

References 190

5 Lightweight Privacy-Preserving Learning Schemes 197

5.1 Introduction 197

5.2 System Model and Problem Formulation 199

5.3 Solutions and Results 200

5.3.1 A Lightweight Privacy-preserving Collaborative Learning Scheme 200

5.3.2 A Differentially Private Collaborative Learning Scheme 213

5.3.3 A Lightweight and Unobtrusive Data Obfuscation Scheme for Remote Inference 218

5.4 Conclusion 233

References 233

6 Clock Synchronization for Wide-area Applications 239

6.1 Introduction 239

6.2 System Model and Problem Formulation 240

6.2.1 Natural Timestamping for Wireless IoT Devices 240

6.2.2 Clock Synchronization forWearable IoT Devices 241

6.3 Natural Timestamps in Powerline Electromagnetic Radiation 243

6.3.1 Electrical Network Frequency Fluctuations and Powerline Electromagnetic Radiation 243

6.3.2 Electromagnetic Radiation-based Natural Timestamping 244

6.3.3 Implementation and Benchmark 251

6.3.4 Evaluation in Office and Residential Environments 254

6.3.5 Evaluation in a Factory Environment 259

6.3.6 Applications 261

6.4 Wearables Clock Synchronization Using Skin Electric Potentials 269

6.4.1 Motivation 269

6.4.2 Measurement Study 271

6.4.3 TouchSync System Design 276

6.4.4 TouchSync with Internal Periodic Signal 285

6.4.5 Implementation 288

6.4.6 Evaluation 290

6.5 Conclusion 297

References 297

7 Conclusion 301

Index 305

"This book focuses on a novel type of Internet of Things (IoT) architecture, i.e., Web of Things (WoT) with open character, which naturally breaks the barriers among various IoT vertical applications. Key technologies from physical to platform level are presented and compared, especially the Narrow Band Internet of Things (NB-IoT) technology. Applications that are typical to IoT are discussed with different data transmission requirements. In the book's first part, the requirements of WoT applications on 5G is described. Next, detailed information on WoT technologies are presented. Later, three typical WoT applications are introduced, including the monitoring application of south-to-north water diversion projects, smart driving applications, and network optimization applications. Lastly, the authors explore testing and authentication of IoT key technologies, together with the required equipment, platform, and outdoor environment development"-- Provided by publisher

Description based on online resource; title from digital title page (viewed on October 27, 2023).