Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions / Wireless Networks (PDF)
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This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions.
The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this bookcan help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT.
This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.
Mushu Li received the B.Eng. degree from the University of Ontario Institute of Technology (UOIT), Canada, in 2015, the M.Sc. degree from Ryerson University, Canada, in 2017, and the Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Canada, in 2021. She is currently a research associate at the Department of Electrical and Computer Engineering at the University of Waterloo. Her research interests include mobile edge computing, system optimization in wireless networks, and machine learning-assisted network management. She was the recipient of NSERC Canada Graduate Scholarships (CGS) in 2018, and Ontario Graduate Scholarship (OGS) in 2015 and 2016, respectively.
Weihua Zhuang received the Ph.D. degree in electrical engineering in 1993 from the University of New Brunswick, Canada. She has been with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo,ON, Canada, since 1993, where she is a University Professor and a Tier I Canada
- Autoren: Jie Gao , Mushu Li , Weihua Zhuang
- 2021, 1st ed. 2021, 168 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 303088743X
- ISBN-13: 9783030887438
- Erscheinungsdatum: 25.11.2021
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- Dateiformat: PDF
- Größe: 5.73 MB
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