- Title
- Overcoming the key challenges to establishing vehicular communication : is SDN the answer?
- Creator
- Yaqoob, Ibrar; Ahmad, Iftikhar; Ahmed, Ejaz; Gani, Abdullah; Imran, Muhammad; Guizani, Nadra
- Date
- 2017
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181266
- Identifier
- vital:15922
- Identifier
-
https://doi.org/10.1109/MCOM.2017.1601183
- Identifier
- ISBN:0163-6804 (ISSN)
- Abstract
- Considerable development in software-based configurable hardware has paved the way for a new networking paradigm called software-defined vehicular networks (SDVNs). The distinctive features of SDN, such as its flexibility and programmability, can help fulfill the performance and management requirements for VANETs. Although several studies exist on VANET and SDN, a tutorial on SDVNs is still lacking. In this article, we initially investigate recent premier research advances in the SDVN paradigm. Then we categorize and classify SDVN concepts and establish a taxonomy based on important characteristics, such as services, access technologies, network architectural components, opportunities, operational modes, and system components. Furthermore, we identify and outline the key requirements for SDVNs. Finally, we enumerate and outline future research challenges. © 2017 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Communications Magazine Vol. 55, no. 7 (2017), p. 128-135
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2017 IEEE
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software
- Reviewed
- Funder
- This work is funded by the Bright Sparks Unit and a High Impact Research Grant from the University of Malaya under references UM.C/625/1/ HIR/MOE/FCSIT/03 and RP012C-13AFR. Imran’s work is supported by the Deanship of Scientific Research at King Saud University through Research Group No. (RG # 1435-051).
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