Fog-Enabled Intelligent IoT Systems Paperback / softback
by Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou
Paperback / softback
Description
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 servicesPresents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledgeOutlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services
Information
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Out of stock
- Format:Paperback / softback
- Pages:217 pages, 58 Illustrations, color; 14 Illustrations, black and white; XVIII, 217 p. 72 illus., 58 i
- Publisher:Springer Nature Switzerland AG
- Publication Date:28/10/2020
- Category:
- ISBN:9783030231873
Information
-
Out of stock
- Format:Paperback / softback
- Pages:217 pages, 58 Illustrations, color; 14 Illustrations, black and white; XVIII, 217 p. 72 illus., 58 i
- Publisher:Springer Nature Switzerland AG
- Publication Date:28/10/2020
- Category:
- ISBN:9783030231873
