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E-grāmata: Intelligent IoT for the Digital World: Incorporating 5G Communications and Fog/Edge Computing Technologies

(Nanyang Technological University, Singapore), (Sun Yat-sen University, China), (Huazhong University of Science and Technology, China), (ShanghaiTech University and Peng Cheng Lab, China)
  • Formāts: EPUB+DRM
  • Izdošanas datums: 08-Apr-2021
  • Izdevniecība: John Wiley & Sons Inc
  • Valoda: eng
  • ISBN-13: 9781119593560
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Intelligent IoT for the Digital World: Incorporating 5G Communications and Fog/Edge Computing TechnologiesPalielināt
  • Formāts: EPUB+DRM
  • Izdošanas datums: 08-Apr-2021
  • Izdevniecība: John Wiley & Sons Inc
  • Valoda: eng
  • ISBN-13: 9781119593560
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"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"--

Discover how the Internet of Things will change the information and communication technology industry in the next decade 

The Intelligent Internet of Things explores a unique type of Internet of Things (IoT) architecture, for example, the Web of Things (WoT) with its open character that breaks the barriers among various IoT vertical applications. The authors—noted experts on the topic—examine and compare key technologies from physical to platform level, especially the Narrow Band Internet of Things (NB-IoT) technology. They discuss applications with different data transmission requirements that are typical to IoT. The text also describes the requirements of WoT applications on 5G and includes detailed information on WoT technologies.  

The Intelligent Internet of Things examines three typical WoT applications: the monitoring application of south-to-north water diversion projects; smart driving applications; and network optimization applications. In addition, the text explores testing and authentication of IoT key technologies, with the required equipment, platform, and outdoor environment development. This important book:

  • Provides information on what IoT/WoT is, when to use it, how to provide IoT services with certain technologies, and more 
  • Discusses restful architecture, main protocols (ZigBee, 6lowpan, CoAP, HTML5)
  • Explores key technologies on different layers (sensing, gathering, application) 
  • Examines how IoT will change the information and communication technology industry

Written for professionals working in IoT development, management and big data analytics, Intelligent Internet of Things offers an overview of IoT architecture, key technology, current applications and future development of the technology.

Preface ix
Acknowledgments xvii
Acronyms xix
1 IoT Technologies and Applications
1(60)
1.1 Introduction
1(2)
1.2 Traditional IoT Technologies
3(24)
1.2.1 Traditional IoT System Architecture
3(4)
1.2.2 IoT Connectivity Technologies and Protocols
7(20)
1.3 Intelligent IoT Technologies
27(15)
1.3.1 Data Collection Technologies
29(7)
1.3.2 Computing Power Network
36(3)
1.3.3 Intelligent Algorithms
39(3)
1.4 Typical Applications
42(6)
1.4.1 Environmental Monitoring
42(1)
1.4.2 Public Safety Surveillance
42(2)
1.4.3 Military Communication
44(2)
1.4.4 Intelligent Manufacturing and Interactive Design
46(1)
1.4.5 Autonomous Driving and Vehicular Networks
47(1)
1.5 Requirements and Challenges for Intelligent IoT Services
48(4)
1.5.1 A Generic and Flexible Multi-tier Intelligence IoT Architecture
48(1)
1.5.2 Lightweight Data Privacy Management in IoT Networks
49(1)
1.5.3 Cross-domain Resource Management for Intelligent IoT Services
50(1)
1.5.4 Optimization of Service Function Placement, QoS, and Multi-operator Network Sharing for Intelligent IoT Services
50(1)
1.5.5 Data Time stamping and Clock Synchronization Services for Wide-area IoT Systems
51(1)
1.6 Conclusion
52(9)
References
52(9)
2 Computing and Service Architecture for Intelligent IoT
61(36)
2.1 Introduction
61(1)
2.2 Multi-tier Computing Networks and Service Architecture
62(12)
2.2.1 Multi-tier Computing Network Architecture
63(2)
2.2.2 Cost Aware Task Scheduling Framework
65(4)
2.2.3 Fog as a Service Technology
69(5)
2.3 Edge-enabled Intelligence for Industrial IoT
74(11)
2.3.1 Introduction and Background
74(5)
2.3.2 Boomerang Framework
79(4)
2.3.3 Performance Evaluation
83(2)
2.4 Fog-enabled Collaborative SLAM of Robot Swarm
85(8)
2.4.1 Introduction and Background
85(2)
2.4.2 A Fog-enabled Solution
87(6)
2.5 Conclusion
93(4)
References
94(3)
3 Cross-Domain Resource Management Frameworks
97(52)
3.1 Introduction
97(2)
3.2 Joint Computation and Communication Resource Management for Delay-Sensitive Applications
99(14)
3.2.1 2C Resource Management Framework
101(3)
3.2.2 Distributed Resource Management Algorithm
104(3)
3.2.3 Delay Reduction Performance
107(6)
3.3 Joint Computing, Communication, and Caching Resource Management for Energy-efficient Applications
113(18)
3.3.1 Fog-enabled 3C Resource Management Framework
116(5)
3.3.2 Fog-enabled 3C Resource Management Algorithm
121(6)
3.3.3 Energy Saving Performance
127(4)
3.4 Case Study: Energy-efficient Resource Management in Tactile Internet
131(13)
3.4.1 Fog-enabled Tactile Internet Architecture
133(2)
3.4.2 Response Time and Power Efficiency Trade-off
135(2)
3.4.3 Cooperative Fog Computing
137(2)
3.4.4 Distributed Optimization for Cooperative Fog Computing
139(1)
3.4.5 A City-wide Deployment of Fog Computing-supported Self-driving Bus System
140(4)
3.5 Conclusion
144(5)
References
145(4)
4 Dynamic Service Provisioning Frameworks
149(48)
4.1 Online Orchestration of Cross-edge Service Function Chaining J
49(121)
4.1.1 Introduction
149(2)
4.1.2 Related Work
151(1)
4.1.3 System Model for Cross-edge SFC Deployment
152(5)
4.1.4 Online Optimization for Long-term Cost Minimization
157(5)
4.1.5 Performance Analysis
162(3)
4.1.6 Performance Evaluation
165(4)
4.1.7 Future Directions
169(1)
4.2 Dynamic Network Slicing for High-quality Services
170(10)
4.2.1 Service and User Requirements
170(3)
4.2.2 Related Work
173(1)
4.2.3 System Model and Problem Formulation
174(2)
4.2.4 Implementation and Numerical Results
176(4)
4.3 Collaboration of Multiple Network Operators
180(9)
4.3.1 Service and User Requirements
181(1)
4.3.2 System Model and Problem Formulation
182(5)
4.3.3 Performance Analysis
187(2)
4.4 Conclusion
189(8)
References
190(7)
5 Lightweight Privacy-Preserving Learning Schemes
197(42)
5.1 Introduction
197(2)
5.2 System Model and Problem Formulation
199(1)
5.3 Solutions and Results
200(33)
5.3.1 A Lightweight Privacy-preserving Collaborative Learning Scheme
200(13)
5.3.2 A Differentially Private Collaborative Learning Scheme
213(5)
5.3.3 A Lightweight and Unobtrusive Data Obfuscation Scheme for Remote Inference
218(15)
5.4 Conclusion
233(6)
References
233(6)
6 Clock Synchronization for Wide-area Applications
239(62)
6.1 Introduction
239(1)
6.2 System Model and Problem Formulation
240(3)
6.2.1 Natural Timestamping for Wireless IoT Devices
240(1)
6.2.2 Clock Synchronization for Wearable IoT Devices
241(2)
6.3 Natural Timestamps in Powerline Electromagnetic Radiation
243(26)
6.3.1 Electrical Network Frequency Fluctuations and Powerline Electromagnetic Radiation
243(1)
6.3.2 Electromagnetic Radiation-based Natural Timestamping
244(7)
6.3.3 Implementation and Benchmark
251(3)
6.3.4 Evaluation in Office and Residential Environments
254(5)
6.3.5 Evaluation in a Factory Environment
259(2)
6.3.6 Applications
261(8)
6.4 Wearables Clock Synchronization Using Skin Electric Potentials
269(28)
6.4.1 Motivation
269(2)
6.4.2 Measurement Study
271(5)
6.4.3 TouchSync System Design
276(9)
6.4.4 TouchSync with Internal Periodic Signal
285(3)
6.4.5 Implementation
288(2)
6.4.6 Evaluation
290(7)
6.5 Conclusion
297(4)
References
297(4)
7 Conclusion
301(4)
Index 305
YANG YANG, PhD, IEEE Fellow, is a Professor with ShanghaiTech University and an Adjunct Professor with Peng Cheng Laboratory, China.

XU CHEN, PhD, IEEE Senior Member, is a Professor with Sun Yat-sen University, China.

RUI TAN, PhD, IEEE Senior Member, is an Associate Professor with Nanyang Technological University, Singapore.

YONG XIAO, PhD, IEEE Senior Member, is a Professor with Huazhong University of Science and Technology, China.
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