Overview

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

ISBN-13

9783030231842

ISBN-10

3030231844

Weight

1.12 Pounds

Dimensions

6.14 x 0.56 x 9.21 In

List Price

$139.99

Edition

1st Edition

Format

Hardcover

Language

English

Pages

xviii, 217 pages

Publisher

Springer

Published On

2019-10-28



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