A novel adaptive routing and switching scheme for software-defined vehicular Networks

Zhoa, Liang; Zhao, Weiliang; Gong, Changqing; Al-Dubai, Ahmed; Min, Geyong

Abstract

Software-Defined Vehicular Networks (SDVNs) technology has been attracting significant attention as it can make Vehicular Ad Hoc Network (VANET) more efficient and intelligent. SDVN provides a flexible architecture which can decouple the network management from data transmission. Compared to centralized SDVN, hybrid SDVN is even more flexible and has less overhead. This hybrid technology can eliminate the burden on the central controller by moving regional routing tasks from the central controller to local controllers or vehicular nodes. In the literature, different routing protocols have been reported for SDVNs. However, these existing routing protocols lack flexibility and adaptive approaches to deal with changing and dynamic traffic conditions. Thus, this paper proposes a new software-defined routing method, namely, Novel Adaptive Routing and Switching Scheme (NARSS), deployed in the controller. This adaptive method can dynamically select routing schemes for a specific traffic scenario. To achieve this, this paper firstly presents a method for collecting road network information to describe traffic condition where the method extracts the feature data used to generate the routing scheme switching model. Secondly, we train the feature data through an artificial neural network with high training speed and accuracy. Finally, we use the model as a basis for establishing the NARSS and deploy it in the controller. Simulation results show that the proposed scheme outperforms the single traditional routing protocol in terms of both packet delivery ratio and end-to-end delay.

Citation

Zhoa, L., Zhao, W., Gong, C., Al-Dubai, A., & Min, G. (2019, May). A novel adaptive routing and switching scheme for software-defined vehicular Networks. Presented at IEEE International Conference on Communications, Shanghai, China

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: IEEE International Conference on Communications
• Start Date: May 20, 2019
• End Date: May 24, 2019
• Acceptance Date: Feb 4, 2019
• Online Publication Date: Jul 15, 2019
• Publication Date: Jul 15, 2019
• Deposit Date: Feb 14, 2019
• Publicly Available Date: Jul 15, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Series Title: IEEE International Conference on Communications: proceedings
• Series ISSN: 1938-1883
• Book Title: Proceedings of the IEEE International Conference on Communications
• DOI: https://doi.org/10.1109/ICC.2019.8761365
• Keywords: VANET, hybrid SDVN, adaptive, routing scheme switching, artificial neural network
• Public URL: http://researchrepository.napier.ac.uk/Output/1583512
• Related Public URLs: https://icc2019.ieee-icc.org/
• Contract Date: Feb 14, 2019