Internet Access in Vehicular Networks (PDF)
To enable efficient and reliable Internet connection for mobile vehicle users, this book first...
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This book introduces the Internet access for vehicles as well as novel communication and computing paradigms based on the Internet of vehicles.
To enable efficient and reliable Internet connection for mobile vehicle users, this book first introduces analytical modelling methods for the practical vehicle-to-roadside (V2R) Internet access procedure, and employ the interworking of V2R and vehicle-to-vehicle (V2V) to improve the network performance for a variety of automotive applications.
In addition, the wireless link performance between a vehicle and an Internet access station is investigated, and a machine learning based algorithm is proposed to improve the link throughout by selecting an efficient modulation and coding scheme.
This book also investigates the distributed machine learning algorithms over the Internet access of vehicles. A novel broadcasting scheme is designed to intelligently adjust the training users that are involved in the iteration rounds for an asynchronous federated learning scheme, which is shown to greatly improve the training efficiency. This book conducts the fully asynchronous machine learning evaluations among vehicle users that can utilize the opportunistic V2R communication to train machine learning models.Researchers and advanced-level students who focus on vehicular networks, industrial entities for internet of vehicles providers, government agencies target on transportation system and road management will find this book useful as reference. Network device manufacturers and network operators will also want to purchase this book.
Haibo Zhou (M'14-SM'18) received the Ph.D. degree in information and communication engineering from Shanghai Jiao Tong University, Shanghai, China, in 2014. From 2014 to 2017, he worked as a Postdoctoral Fellow with the Broadband Communications Research Group, Electrical and Computer Engineering Department, University of Waterloo. He is currently an Associate Professor with the School of Electronic Science and Engineering, Nanjing University, Nanjing, China. His research interests include resource management and protocol design in cognitive radio networks and vehicular 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 currently a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. His research focuses on resource management in interconnected wireless/wired networks, wireless network security, social networks, smart grid, and vehicular ad hoc and sensor networks. He is a registered Professional Engineer of Ontario, Canada, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of the IEEE Vehicular Technology Society and
- Autoren: Wenchao Xu , Haibo Zhou , Xuemin (Sherman) Shen
- 2021, 1st ed. 2021, 165 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030889912
- ISBN-13: 9783030889913
- Erscheinungsdatum: 18.11.2021
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- Dateiformat: PDF
- Größe: 5.37 MB
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