Fog-Enabled Intelligent IoT Systems

di Yang Yang (Autore)

Xiliang Luo (Autore)

Xiaoli Chu (Autore)

Springer Nature Switzerland AG, 2019

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

• Autore: Yang Yang, Xiliang Luo, Xiaoli Chu
• Editore: Springer Nature Switzerland AG
• Anno: 2019
• Rilegatura: Hardback
• Pagine: 217 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030231842

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