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Fog-Enabled Intelligent IoT Systems
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Fog-Enabled Intelligent IoT Systems
Yang, Yang; Luo, Xiliang; Chu, Xiaoli; Zhou, Ming-Tuo
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
Details
Published by: Springer
Publication Date: 2019-10-28
Format: Hardcover
ISBN-13: 9783030231842
DOI: 10.1007/978-3-030-23185-9
Dimensions: 235cm x155cm
Pages: 217