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Fog-Enabled Intelligent IoT Systems

Produktform: Buch / Einband - flex.(Paperback)

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.  weiterlesen

Sprache(n): Englisch

ISBN: 978-3-030-23187-3 / 978-3030231873 / 9783030231873

Verlag: Springer International Publishing

Erscheinungsdatum: 28.10.2020

Seiten: 217

Auflage: 1

Autor(en): Yang Yang, Xiaoli Chu, Xiliang Luo, Ming-Tuo Zhou

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