Fog-Enabled Intelligent IoT Systems
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- Hardcover
- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
95,99 €
UVP
106,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
28.10.2020
Abbildungen
XVIII, 217 p. 72 illus., 58 illus. in color.
Verlag
SpringerSeitenzahl
217
Maße (L/B/H)
23,5/15,5/1,3 cm
Gewicht
365 g
Auflage
1st ed. 2020
Sprache
Englisch
ISBN
978-3-030-23187-3
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
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