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Table of Contents
1 Cover
6 Acronyms
7 1 IoT Technologies and Applications 1.1 Introduction 1.2 Traditional IoT Technologies 1.3 Intelligent IoT Technologies 1.4 Typical Applications 1.5 Requirements and Challenges for Intelligent IoT Services 1.6 Conclusion References
8 2 Computing and Service Architecture for Intelligent IoT 2.1 Introduction 2.2 Multi‐tier Computing Networks and Service Architecture 2.3 Edge‐enabled Intelligence for Industrial IoT 2.4 Fog‐enabled Collaborative SLAM of Robot Swarm 2.5 Conclusion References Notes
9 3 Cross‐Domain Resource Management Frameworks 3.1 Introduction 3.2 Joint Computation and Communication Resource Management for Delay‐Sensitive Applications 3.3 Joint Computing, Communication, and Caching Resource Management for Energy‐efficient Applications 3.4 Case Study: Energy‐efficient Resource Management in Tactile Internet 3.5 Conclusion References Notes
10 4 Dynamic Service Provisioning Frameworks 4.1 Online Orchestration of Cross‐edge Service Function Chaining 4.2 Dynamic Network Slicing for High‐quality Services 4.3 Collaboration of Multiple Network Operators 4.4 Conclusion References Notes
11 5 Lightweight Privacy‐Preserving Learning Schemes 5.1 Introduction 5.2 System Model and Problem Formulation 5.3 Solutions and Results 5.4 Conclusion References Note
12 6 Clock Synchronization for Wide‐area Applications 6.1 Introduction 6.2 System Model and Problem Formulation 6.3 Natural Timestamps in Powerline Electromagnetic Radiation 6.4 Wearables Clock Synchronization Using Skin Electric Potentials 6.5 Conclusion References Notes
13 7 Conclusion
14 Index
List of Tables
1 Chapter 1Table 1.1 Comparison of IoT connecting technologies.
2 Chapter 3Table 3.1 Simulation setting.
3 Chapter 4Table 4.1 Configuration of four required SFs.Table 4.2 IoT Solutions in 3GPP Release 13 (Shirvanimoghaddam et al., Septemb...
4 Chapter 5Table 5.1 The overheadof various approaches.Table 5.2 Per‐sample execution time on Coral for
5 Chapter 6Table 6.1 Various sites for performance evaluation.Table 6.2 Decoding error statistics at various sites.Table 6.3 Natural timestamp decoding error statistics in the factory
