Fog-Enabled Intelligent IoT Systems - Yang, Yang

. .

Auteur(s) : Yang, Yang - Zhou, Ming-Tuo - Chu, Xiaoli - Luo, Xiliang

Editeur : Springer International Publishing

Langue : Anglais

Parution : 30/09/2020

Format : Moyen, de 350g à 1kg

Nombre de pages : 236

Expédition : 365

Dimensions : 23.5 x 15.5 x 1.3

ISBN : 9783030231873

Résumé :
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

...

Biographie:
Dr. Yang Yang is currently a professor with Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, serving as the Director of CAS Key Laboratory of Wireless Sensor Network and Communication, and the Director of Shanghai Research Center for Wireless Communications (WiCO). He is also a Distinguished Adjunct Professor with the School of Information Science and Technology, ShanghaiTech University. Prior to that, he has held faculty positions at University College London (UCL), Brunel University, and The Chinese University of Hong Kong. Yang is a member of the Chief Technical Committee of the National Science and Technology Major Project New Generation Mobile Wireless Broadband Communication Networks (2008-2020), which is funded by the Ministry of Industry and Information Technology (MIIT) of China. In addition, he is on the Chief Technical Committee for the National 863 Hi-Tech R&D Program 5G System R&D Major Projects, which is fundedby the Ministry of Science and Technology (MOST) of China. Since January 2017, he has been serving the OpenFog Consortium as the Director for Greater China Region. Yang's current research interests include wireless sensor networks, Internet of Things, Fog computing, Open 5G, and advanced wireless testbeds. He has published more than 150 papers and filed over 80 technical patents in wireless communications. Dr. Xiliang Luo received his Bachelor of Science degree in Physics from the Peking University, Beijing, China, in 2001, and his Master of Science and Doctor of Philosophy degrees in Electrical Engineering from the University of Minnesota at Minneapolis in 2003 and 2006, respectively. Xiliang Luo joined Qualcomm and carried out cutting edge researches in Qualcomm Research at different posts: senior engineer (2006), staff engineer (2010), and then senior staff engineer (2013). His work in Qualcomm included: system design, analyses, and standardization of 3GPP LTE startingfrom initial Rel-8 till Rel-11. He was the designer of various enhancements to Qualcomm's current LTE solutions and he led the designs of Qualcomm's next generation LTE modem for heterogeneous networks from initial concepts to final completion. In August 2014, Xiliang Luo joined the ShanghaiTech University as an Associate Professor in the School of Information Science and Technology. His general research interests lie in signal processing, communications, and information theory. Till now, Xiliang Luo has published more than 50 research papers in top journals and conferences. Meanwhile, he is the (co)-inventor of more than 70 US and international patents, majority of which have been adopted into the LTE and LTE-Advanced standards. Dr. Phone Lin, an IEEE Fellow, is a Professor with National Taiwan University, Taiwan, holding a professorship within the Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, and Telecommunications Research Center of College of EECS, and Graduate Institute of Medical Device and Imaging of College of Medicine. He received the BS and Ph.D. degrees of Computer Science & Information Engineering from National Chiao Tung University, Hsinchu, Taiwan, in 1996 and 2001, respectively. Dr. Lin serves on the Editorial Board of several journals, such as IEEE Transactions on Vehicular Technology, IEEE Network Magazine, IEEE Internet of Things Journal, Computer Networks Journal, etc. He has also been involved in several prestigious conferences, such as Local Arrangement Co-Chair, IEEE VTC2010-Spring, Taipei, Taiwan, the Technical Program Chair of WPMC 2012, Co-Chair of the Wireless Networking Symposium of IEEE Globecom 2014, and TPC member of IEEE Infocom 2010-2017. He was Chair of IEEE Vehicular Technology Society (VTS) Taip...

Sommaire:
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.