Название: Fog-Enabled Intelligent IoT Systems Автор: Yang Yang, Xiliang Luo Издательство: Springer Год: 2019 (2020 Edition) Страниц: 230 Язык: английский Формат: pdf (true) Размер: 10.1 MB
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
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 9. Idex
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