Mobile Edge Caching in Heterogeneous Vehicular Networks

Huaqing Wu, Feng Lyu, Xuemin Shen (Autoren)

Buch | Softcover

XIV, 118 Seiten

2021 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-030-88877-0 (ISBN)

Artikel merken

To support smart vehicular services especially in the future driverless era, the vehicular networks are expected to support high-bandwidth content delivery and reliable accessibility of multifarious applications. However, the limited radio spectrum resources, the inflexibility in accommodating dynamic traffic demands, and the geographically constrained fixed infrastructure deployment of current terrestrial networks pose great challenges in ensuring ubiquitous, flexible, and reliable network connectivity. This book investigates mobile edge content caching and delivery in heterogeneous vehicular networks (HetVNets) to provide better service quality for vehicular users with resource utilization efficiency enhancement. Specifically, this book introduces the background of HetVNets and mobile edge caching, provides a comprehensive overview of mobile edge caching-assisted HetVNet techniques in supporting vehicular content delivery, and proposes/designs mobile edge content caching and delivery schemes in different HetVNet scenarios respectively to enhance vehicular content delivery performance. Afterward, this book outlines open issues and research directions in future mobile edge caching-assisted space-air-ground integrated vehicular networks.
The topics addressed in this book are crucial for both the academic community and industry, since mobile edge caching in heterogeneous networks has become an essential building block for the communication systems. The systematic principle of this book provides valuable insights on the efficient exploitation of heterogeneous network resources to fully unleash their differential merits in supporting vehicular applications. In addition, this book considers different HetVNet scenarios from terrestrial HetVNets to air-ground HetVNets and space-air-ground HetVNets, which can provide a general overview for interested readers with a comprehensive understanding of applying mobile edge caching techniques inenhancing vehicular content delivery performance, and offer a systematized view for researchers and practitioners in the field of mobile edge caching to help them design and optimize the desired vehicular content delivery systems.

Provides in-depth studies on mobile edge content caching and delivery scheme design for three typical HetVNet scenarios;
Comprehensively covers the analysis, design, and optimization of the mobile edge content caching-assisted HetVNets;
Systematically addresses vehicle mobility, network service interruptions, and dynamic service request distribution issues in the mobile edge content caching and delivery.

lt;p>Huaqing Wu (IEEE S'15-M'21) received the Ph.D. degree from University of Waterloo, Ontario, Canada, in 2021. She received the B.E. and M.E. degrees in Electrical Engineering from University of Posts and Telecommunications, Beijing, China, in 2014 and 2017, respectively. She is currently a postdoctoral research fellow at the McMaster University. Her current research interests include vehicular networks with emphasis on edge caching, wireless resource management, Internet of vehicles, space-air-ground integrated networks, and application of artificial intelligence (AI) for wireless networks. She received the Best Paper Award at IEEE GLOBECOM 2018.

Feng Lyu (IEEE S'16-M'18) received the PhD degree from the Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2018, and the BS degree in software engineering from Central South University, Changsha, China, in 2013. During respective Sept. 2018-Dec. 2019 and Oct. 2016-Oct. 2017, he worked as a postdoctoral fellow and was a visiting PhD student in BBCR Group, Department of Electrical and Computer Engineering, University of Waterloo, Canada. He is currently a professor with the School of Computer Science and Engineering, Central South University, Changsha, China. His research interests include vehicular networks, beyond 5G networks, big data measurement and application design, and could/edge computing. He is the recipient of the best paper award of IEEE ICC 2019. He currently serves as associate editor for IEEE Systems Journal and leading guest editor for Peer-to-Peer Networking and Applications, and served as TPC members for many international conferences. He is a member of the IEEE Computer Society, Communication Society, and Vehicular Technology Society.

Xuemin (Sherman) Shen (IEEE 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, Canada. His research focuses on network resource management, wireless network security, Internet of Things, 5G and beyond, and vehicular ad hoc and sensor networks. Dr. Shen 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, a Chinese Academy of Engineering Foreign Member, and a Distinguished Lecturer of the IEEE Vehicular Technology Society and Communications Society.

Dr. Shen received the Canadian Award for Telecommunications Research from the Canadian Society of Information Theory (CSIT) in 2021, the R.A. Fessenden Award in 2019 from IEEE, Canada, Award of Merit from the Federation of Chinese Canadian Professionals (Ontario) in 2019, James Evans Avant Garde Award in 2018 from the IEEE Vehicular Technology Society, Joseph LoCicero Award in 2015 and Education Award in 2017 from the IEEE Communications Society (ComSoc), and Technical Recognition Award from Wireless Communications Technical Committee (2019) and AHSN Technical Committee (2013). He has also received the Excellent Graduate Supervision Award in 2006 from the University of Waterloo and the Premier's Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. He served as the Technical Program Committee Chair/Co-Chair for IEEE Globecom'16, IEEE Infocom'14, IEEE VTC'10 Fall, IEEE Globecom'07, and the Chair for the IEEE ComSoc Technical Committee on Wireless Communications. Dr. Shen is the President Elect of the IEEE ComSoc. He was the Vice President for Technical & Educational Activities, Vice President for Publications, Member-at-Large on the Board of Governors, Chair of the Distinguished Lecturer Selection Committee, and Member of IEEE Fellow Selection Committee of the ComSoc. Dr. Shen served as the Editor-in-Chief of the IEEE IoT JOURNAL, IEEE Network, and IET Communications.

Introduction.- Heterogeneous Vehicular Networks.- Techniques for Content Delivery Performance Enhancement.- Edge Caching in Terrestrial HetVNet with Fixed Aps.- Optimal UAV Caching and Trajectory in Aerial-Assisted Vehicular Networks.- Cooperative Caching Content Delivery in SAGVNs.- Future Directions.- Conclusion.

Erscheinungsdatum	30.11.2021
Reihe/Serie	SpringerBriefs in Computer Science
Zusatzinfo	XIV, 118 p. 30 illus., 29 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	236 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Themenwelt	Technik ► Nachrichtentechnik
Schlagworte	Edge intelligence • Heterogeneous vehicular networks • mobile edge caching • space-air-ground integrated networks • UAV caching and trajectory optimization
ISBN-10	3-030-88877-0 / 3030888770
ISBN-13	978-3-030-88877-0 / 9783030888770
Zustand	Neuware