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Analysing the Performance of SDN/Open Flow Controllers in VANET
Abhijeet R Patil1, Ravindra D. Patil2, P M Mahajan3, Kanchan S Bhagat4

1Abhijeet R Patil, PG Student, Department of E&TC J T Mahajan College of Engineering, Faizpur Jalgaon, India.
2Dr. P M Mahajan, J T Mahajan College of Engineering, Faizpur Jalgaon, India.
3Dr. Kanchan S Bhagat, Department of E&TC J T Mahajan College of Engineering, Faizpur. Jalgaon, India.
4Dr. Ravindra D. Patil, Principal J T Mahajan College of Engineering, Faizpur Jalgaon, India.

Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 2268-2273 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2880059120/2020©BEIESP | DOI: 10.35940/ijrte.A2880.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: One of the key enablers of the evolving 5G technology are Vehicular Ad hoc Networks (VANETs) and Software Defined Networking (SDN). The development of next generation intelligent vehicular networks includes integration of SDN in Vehicular Ad hoc Networks (VANETs). Researchers have focused on the development of the integrated technology including architecture and benefits of SDN based VANET services. In this paper we have simulated the Vehicular Ad hoc Networks (VANETs) using Mininet-wifi. The VANET is incorporated with SDN controller. The performance is evaluated by varying the speed of vehicles. We have evaluated the performance in two ways: performance evaluation of V2V communication in same RSU and performance evaluation of V2V communication from different RSU. We have evaluated the proposed system for POX and RYU SDN OpenFlow controllers. As demonstrated in the results the RYU controller of SDN performs better as compared to POX controller in terms of average delay and throughput.
Keywords: VANET, SDN, POX, RYU, Mininet-wifi.
Scope of the Article: Predictive Analysis