國立虎尾科技大學 |

Intelligent Resource Management in Vehicular Networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Resource Management in Vehicular Networks/ by Haixia Peng, Qiang Ye, Xuemin Sherman Shen.
作者:	Peng, Haixia.
其他作者:	Shen, Xuemin Sherman.
面頁冊數:	XIII, 154 p. 32 illus., 31 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Transportation Technology and Traffic Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-96507-5
ISBN:	9783030965075

Intelligent Resource Management in Vehicular Networks
Peng, Haixia.

Intelligent Resource Management in Vehicular Networks[electronic resource] /by Haixia Peng, Qiang Ye, Xuemin Sherman Shen. - 1st ed. 2022. - XIII, 154 p. 32 illus., 31 illus. in color.online resource. - Wireless Networks,2366-1445. - Wireless Networks,.

Introduction -- Overview of Vehicular Networks -- Resource Management in Vehicular Networks -- MEC-Assisted Vehicular Networks -- Spectrum Resource Management in MEC-Assisted ADVNETs -- Multi-Dimensional Resource Management in MVNETs -- Multi-Dimensional Resource Management in UAV-Assisted MVNETs -- Conclusion.

This book provides a comprehensive investigation on new technologies for future vehicular networks. The authors propose different schemes to efficiently manage the multi-dimensional resources for supporting diversified applications. The authors answer the questions of why connected and automated vehicle technology should be considered; how the multi-access edge computing (MEC) and unmanned aerial vehicle (UAV) technologies can be helpful to vehicular networks; how to efficiently manage the multi-dimensional resources to support different vehicular applications with guaranteed quality-of-service (QoS) requirements; and how to adopt optimization and AI technologies to achieve resource management in vehicular networks. The book is pertinent to researchers, professionals, academics and students in vehicular technologies. Provides a comprehensive resource management design for vehicular networks; Includes multi-resource management studies in highly dynamic wireless networks; Features applications of AI technologies in multi-dimensional resource management.

ISBN: 9783030965075

Standard No.: 10.1007/978-3-030-96507-5doiSubjects--Topical Terms:

1069531
Transportation Technology and Traffic Engineering.

LC Class. No.: TK7895.E42

Dewey Class. No.: 621.38

Intelligent Resource Management in Vehicular Networks
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