Intelligent Resource Management in Vehicular Networks [electronic resource] /
Material type: TextSeries: Wireless NetworksPublisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XIII, 154 p. 32 illus., 31 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783030965075
- 621.38 23
- TK7895.E42
- TK5105.8857
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.
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