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Fog-Enabled Intelligent IoT Systems

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fog-Enabled Intelligent IoT Systems/ by Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou.
Author:	Yang, Yang.
other author:	Luo, Xiliang.
Description:	XVIII, 217 p. 72 illus., 58 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-23185-9
ISBN:	9783030231859

Fog-Enabled Intelligent IoT Systems
Yang, Yang.

Fog-Enabled Intelligent IoT Systems[electronic resource] /by Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou. - 1st ed. 2020. - XVIII, 217 p. 72 illus., 58 illus. in color.online resource.

Introduction -- IoT technologies and applications -- Fog computing architecture and technologies -- Challenges and solutions for cross-domain applications -- Fog-enabled intelligent transportation system -- Fog-enabled smart home and user behavior recognition -- Fog-enabled industrial 4.0 -- Fog-enabled wireless network self-optimization -- Conclusion.

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, two fog-enabled frameworks with detailed technical approaches are proposed for realistic application scenarios with no or limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on these fog-enabled frameworks, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as Intelligent Transportation System, Smart Home, Industrial 4.0, Wireless Network Self-Optimization, and User Behavior Recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized in terms of service flexibility, scalability, quality, maintainability, cost efficiency, as well as latency. 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.

ISBN: 9783030231859

Standard No.: 10.1007/978-3-030-23185-9doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Fog-Enabled Intelligent IoT Systems
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505 0 $a Introduction -- IoT technologies and applications -- Fog computing architecture and technologies -- Challenges and solutions for cross-domain applications -- Fog-enabled intelligent transportation system -- Fog-enabled smart home and user behavior recognition -- Fog-enabled industrial 4.0 -- Fog-enabled wireless network self-optimization -- Conclusion.
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