Fog Enabled Intelligent IoT Systems 1st Edition by Yang Yang, Xiliang Luo, Xiaoli Chu, Ming Tuo Zhou ISBN 3030231879 978-3030231873

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Product details:

ISBN 10:  3030231879 

ISBN 13: 978-3030231873

Author: Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou

 This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient,  a fog-enabled service architecture  is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with  limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized. 

• Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services

• Presents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledge

• Outlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services

Table of contents: 

1. IoT Technologies and Applications

2. Fog Computing Architecture and Technologies

3. Analytical Framework for Multi-Task Multi-Helper Fog Networks

4. Fog-Enabled Multi-Robot System

5. Fog-Enabled Wireless Communication Networks

6. Fog-Enabled Intelligent Transportation System

7. Fog-Enabled Smart Home and User Behavior Recognition

8. Conclusions

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Tags: Yang Yang, Xiliang Luo, Xiaoli Chu, Ming Tuo Zhou, Fog Enabled, Intelligent, IoT Systems