Advanced Wireless Technologies for Industrial Network Systems

lt;p>Ling Lyu received the B.S. degree in telecommunication engineering from Jinlin University, Changchun, China, in 2013, and the Ph.D. degree in control theory and control engineering from Shanghai Jiao Tong University, Shanghai, China, in 2019. In 2019, she joined Dalian Maritime University, Dalian, China, where she is currently an Associate Professor with the Department of Telecommunication. She was a Visiting Student with the University of Waterloo, Waterloo, ON, Canada, from September 2017 to September 2018. Her current research interests include wireless sensor and actuator networks and applications in industrial automation, the joint design of communication and control in industrial cyber-physical systems, estimation and control over lossy wireless networks, machine-type communication-enabled reliable transmission in the fifth-generation network, resource allocation, and energy efficiency.

Xinping Guan is currently a Chair Professor of Shanghai Jiao Tong University, Shanghai, China, where he is the Dean of School of Electronic, Information and Electrical Engineering, and the Director of the Key Laboratory of Systems Control and Information Processing, Ministry of Education of China. Before that, he was the Executive Director of Office of Research Management, Shanghai Jiao Tong University, a Full Professor and Dean of Electrical Engineering, Yanshan University, Qinhuangdao, China.

Dr. Guan's current research interests cover industrial network systems, smart manufacturing, and underwater networks. He has authored and/or coauthored 5 research monographs, more than 200 papers in peer-reviewed journals, and numerous conference papers. As a Principal Investigator, he has finished/been working on more than 20 national key projects. He is the leader of the prestigious Innovative Research Team of the National Natural Science Foundation of China (NSFC). Dr. Guan is an Executive Committee Member of Chinese Automation Association Council and the Chinese Artificial Intelligence Association Council. He received the Second Prize of the National Natural Science Award of China in both 2008 and 2018, the First Prize of Natural Science Award from the Ministry of Education of China in both 2006 and 2016. He was a recipient of the "IEEE Transactions on Fuzzy Systems Outstanding Paper Award" in 2008 and IEEE TCCPS Industrial Technical Excellence Award in 2022. He is a "National Outstanding Youth" honoured by NSF of China, "Changjiang Scholar" by the Ministry of Education of China and "State-level Scholar" of "New Century Bai Qianwan Talent Program" of China. He was elected a Fellow of IEEE in 2018.

 

Nan Cheng received the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Waterloo in 2016, and B.E. degree and the M.S. degree from the Department of Electronics and Information Engineering, Tongji University, Shanghai, China, in 2009 and 2012, respectively. He worked as a Post-doctoral fellow with the Department of Electrical and Computer Engineering, University of Toronto, from 2017 to 2019. He is currently a professor with State Key Lab. of ISN and with School of Telecommunications Engineering, Xidian University, Shaanxi, China. He has published over 80 journal papers in IEEE Transactions and other top journals. He serves as associate editors for IEEE Transactions on Vehicular Technology, IEEE Open Journal of the Communications Society, and Peer-to-Peer Networking and Applications, and serves/served as guest editors for several journals. His current research focuses on B5G/6G, space-air-ground integrated network, and self-driving system. His research interests also include AI-driven future networks.

 

Xuemin (Sherman) Shen  (M'97-SM'02-F'09) received the Ph.D. degree in electrical engineering from Rutgers University, New Brunswick, NJ, USA, in 1990. He is a University Professor with the Department of Electrical and Compu

Chapter 1. Introduction.- Chapter 2. Advanced Wireless Technologies for Industrial Automation.- Chapter 3. Sensing and Control Oriented Transmission for Industrial Network Systems.- Chapter 4. Edge Assisted Transmission for 5G Enabled Industrial Network Systems.- Chapter 5. Spectrum Constrained Efficient Transmission for Industrial Network Systems.- Chapter 6. Conclusion and Future Works.

Erscheinungsdatum	07.04.2023
Reihe/Serie	Wireless Networks
Zusatzinfo	XIX, 199 p. 61 illus., 58 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	455 g
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Maschinenbau
	Technik ► Nachrichtentechnik
Schlagworte	co-design of transmission • Industrial Automation • Resource Efficiency • sensing and control • Transmission reliability
ISBN-10	3-031-26962-4 / 3031269624
ISBN-13	978-3-031-26962-2 / 9783031269622
Zustand	Neuware

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