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Intelligent resource management in vehicular networks / Haixia Peng, Qiang Ye, Xuemin Sherman Shen.

9783030965075 (electronic bk.)
3030965074 (electronic bk.)
9783030965068 (print)
3030965066

Cham, Switzerland : Springer, 2022.

English

1 online resource (xiii, 154 pages) : illustrations (some color).

10.1007/978-3-030-96507-5 doi

TE228.37

388.312

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.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed April 5, 2022).

Wireless networks (Springer (Firm)), 2366-1445

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