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Software-Defined Vehicular Adhoc Network: A Theoretical Approach

Software-Defined Vehicular Adhoc Network: A Theoretical Approach

Ram S. Raw, Manish Kumar, Nanahay Singh
Copyright: © 2021 |Pages: 24
ISBN13: 9781799827641|ISBN10: 179982764X|ISBN13 Softcover: 9781799827658|EISBN13: 9781799827665
DOI: 10.4018/978-1-7998-2764-1.ch007
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MLA

Raw, Ram S., et al. "Software-Defined Vehicular Adhoc Network: A Theoretical Approach." Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks, edited by Ram Shringar Rao, et al., IGI Global, 2021, pp. 141-164. https://doi.org/10.4018/978-1-7998-2764-1.ch007

APA

Raw, R. S., Kumar, M., & Singh, N. (2021). Software-Defined Vehicular Adhoc Network: A Theoretical Approach. In R. Rao, N. Singh, O. Kaiwartya, & S. Das (Eds.), Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks (pp. 141-164). IGI Global. https://doi.org/10.4018/978-1-7998-2764-1.ch007

Chicago

Raw, Ram S., Manish Kumar, and Nanahay Singh. "Software-Defined Vehicular Adhoc Network: A Theoretical Approach." In Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks, edited by Ram Shringar Rao, et al., 141-164. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-2764-1.ch007

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Abstract

Vehicular adhoc networks (VANETs) and software-defined networking (SDN) are the key enablers of 5G technology in developing intelligent vehicle networks and applications for the next generation. In recent years, many studies have been concentrated on SDN and VANET incorporation, and many researchers worked at various architecture-related issues along with the advantages of software-defined VANET services and features to adapt them. This chapter discusses the current state of the art of SD-VANET with the directions of future research work. This chapter presents a theoretical approach of architectures of software-defined VANET for its networking infrastructure design, functionalities, benefits, and challenges of future generation networks.

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