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Book synopsis

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.

Book details

Book category Książki po niemiecku Naturwissenschaften, Medizin, Informatik, Technik Technik Bau- und Umwelttechnik

• Full title: Fog-Enabled Intelligent IoT Systems
• Author: Ming-Tuo Zhou, Xiaoli Chu, Xiliang Luo
• Language: English
• Binding: Paperback
• Number of pages: 236
• EAN: 9783030231873
• ISBN: 3030231879
• ID: 33349515
• Publisher: Springer Nature Switzerland AG
• Weight: 365 g
• Dimensions: 235 × 155 × 13 mm
• Date of publishing: 28. October 2020

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