Fog-Enabled Intelligent Iot Systems 2020 Edition Contributor(s): Yang, Yang (Author), Luo, Xiliang (Author), Chu, Xiaoli (Author) |
|
![]() |
ISBN: 3030231844 ISBN-13: 9783030231842 Publisher: Springer OUR PRICE: $132.99 Product Type: Hardcover - Other Formats Published: October 2019 |
Additional Information |
BISAC Categories: - Technology & Engineering | Telecommunications - Technology & Engineering | Electronics - General - Computers | Information Technology |
Dewey: 005.7 |
Physical Information: 0.56" H x 6.14" W x 9.21" (1.12 lbs) 217 pages |
Descriptions, Reviews, Etc. |
Publisher 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.
|