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Intelligent resource management in vehicular networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent resource management in vehicular networksby Haixia Peng, Qiang Ye, Xuemin Sherman Shen.
Author:	Peng, Haixia.
other author:	Ye, Qiang.
Published:	Cham :Springer International Publishing :2022.
Description:	xiii, 154 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Vehicular ad hoc networks (Computer networks)Management.
Online resource:	https://doi.org/10.1007/978-3-030-96507-5
ISBN:	9783030965075$q(electronic bk.)

Intelligent resource management in vehicular networks
Peng, Haixia.

Intelligent resource management in vehicular networks[electronic resource] /by Haixia Peng, Qiang Ye, Xuemin Sherman Shen. - Cham :Springer International Publishing :2022. - xiii, 154 p. :ill. (some col.), digital ;24 cm. - 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$q(electronic bk.)

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

924188
Vehicular ad hoc networks (Computer networks)
--Management.

LC Class. No.: TE228.37 / .P45 2022

Dewey Class. No.: 388.312

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245 1 0 $a Intelligent resource management in vehicular networks $h [electronic resource] / $c by Haixia Peng, Qiang Ye, Xuemin Sherman Shen.
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300 $a xiii, 154 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Wireless networks, $x 2366-1445
505 0 $a 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.
520 $a 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.
650 0 $a Vehicular ad hoc networks (Computer networks) $x Management. $3 924188
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650 2 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Transportation Technology and Traffic Engineering. $3 724870
700 1 $a Ye, Qiang. $3 914906
700 1 $a Shen, Xuemin Sherman. $3 868906
710 2 $a SpringerLink (Online service) $3 273601
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830 0 $a Wireless networks. $3 731203
856 4 0 $u https://doi.org/10.1007/978-3-030-96507-5
950 $a Computer Science (SpringerNature-11645)