Integration of WAVE and OpenFlow for Realization of SDN-based VANETs in ns-3
Pages 41 - 48
Abstract
While software defined networking (SDN) has been widely deployed in wired networks within the cloud data centers, its applications with both a wireless control and data channel have not been fully realized. One particular use case is vehicular ad hoc networks (VANET), where SDN has been touted as an effective method to control vehicles’ data traffic in a centralized manner. Several studies explored how SDN switches can be utilized on connected vehicles to shape the data traffic by enabling multi-hop communications through their Dedicated Short Range Communication (DSRC) interfaces. However, evaluation of research for SDN-based VANETs became a challenge due to lack of testbeds and realistic simulation tools that will support VANET features in conjunction with SDN. In this paper, we present a new framework that will enable SDN-based VANET simulation in ns-3. Specifically, we demonstrate how ns-3 SDN module can be expanded to support DSRC interfaces in addition to their default CSMA-CD interface. By considering a platooning application use case, we implemented an SDN-based VANET simulation that will enable multi-hop communication through the DSRC interfaces of the vehicles and road side units (RSUs). We not only explain the details of the implementation within the ns-3 OpenFlow (OF13) switch module but also provide some sample experiment results under a variety of conditions. The results show that the implementation is robust and closely simulates the actual behavior of SDN’s control and data channels.
References
[1]
Mani Amoozadeh, Hui Deng, Chen-Nee Chuah, Michael Zhang, and Dipak Ghosal. 2015. Platoon Management with Cooperative Adaptive Cruise Control Enabled by VANET. Vehicular Communications 2, 2 (2015), 110–123. https://doi.org/10.1016/j.vehcom.2015.03.004
[2]
Alcardo Alex Barakabitze, Arslan Ahmad, Rashid Mijumbi, and Andrew Hines. 2020. 5G Network Slicing using SDN and NFV: A Survey of Taxonomy, Architectures and Future Challenges. Computer Networks 167(2020). https://doi.org/10.1016/j.comnet.2019.106984
[3]
Kamal Benzekki, Abdeslam El Fergougui, and Abdelbaki Elbelrhiti Elalaoui. 2016. Software-defined Networking (SDN): a Survey. Security and Communication Networks 9 (2016). Issue 18. https://doi.org/10.1002/sec.1737
[4]
Luciano Jerez Chaves, Islene Calciolari Garcia, and Edmundo Roberto Mauro Madeira. 2016. OFSwitch13: Enhancing ns-3 with OpenFlow 1.3 Support. In Proceedings of the Workshop on ns-3(Seattle, WA, USA) (WNS3 ’16). Association for Computing Machinery, New York, NY, USA, 33–40. https://doi.org/10.1145/2915371.2915381
[5]
Ramon Dos Reis Fontes, Claudia Campolo, Christian Esteve Rothenberg, and Antonella Molinaro. 2017. From Theory to Experimental Evaluation: Resource Management in Software-defined Vehicular Networks. IEEE Access 5(2017), 3069–3076.
[6]
Agata Grzybek, Marcin Seredynski, Grégoire Danoy, and Pascal Bouvry. 2012. Aspects and Trends in Realistic VANET Simulations. In 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM). 1–6. https://doi.org/10.1109/WoWMoM.2012.6263793
[7]
Zongjian He, Jiannong Cao, and Xuefeng Liu. 2016. SDVN: Enabling Rapid Network Innovation for Heterogeneous Vehicular Communication. IEEE network 30, 4 (2016), 10–15.
[8]
Fei Hu, Qi Hao, and Ke Bao. 2014. A Survey on Software-defined Network and OpenFlow: From Concept to Implementation. IEEE Communications Surveys and Tutorials 16 (2014). Issue 4. https://doi.org/10.1109/COMST.2014.2326417
[9]
Xiang Ji, HuiQun Yu, GuiSheng Fan, and WenHao Fu. 2016. SDGR: An SDN-based Geographic Routing Protocol for VANET. In 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 276–281.
[10]
Karamjeet Kaur, Japinder Singh, and Navtej Singh Ghumman. 2014. Mininet as Software Defined Networking Testing Platform. In International Conference on Communication, Computing & Systems (ICCCS). 139–42.
[11]
John Kenney. 2011. Dedicated Short-Range Communications (DSRC) Standards in the United States. Proc. IEEE 99, 7 (July 2011), 1162–1182. https://doi.org/10.1109/JPROC.2011.2132790
[12]
Ian Ku, You Lu, Mario Gerla, Rafael Gomes, Francesco Ongaro, and Eduardo Cerqueira. 2014. Towards Software-defined VANET: Architecture and Services. In 2014 13th Annual Mediterranean ad hoc Networking Workshop (MED-HOC-NET). IEEE, 103–110.
[13]
Sandeep Kugali and Sneha Kadadevar. 2020. Vehicular Adhoc Network (VANET):-A Brief Knowledge. International Journal of Engineering and Technical Research 9 (06 2020). https://doi.org/10.17577/IJERTV9IS060784
[14]
Juan Leon, Oscar Bautista, Abdullah Aydeger, Suat Mercan, and Kemal Akkaya. 2021. A General and Practical Framework for Realization of SDN-based Vehicular Networks. In 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC). 1–7. https://doi.org/10.1109/IPCCC51483.2021.9679400
[15]
Charles Perkins and Elizabeth Royer. 1999. Ad-hoc On-demand Distance Vector Routing. In Proceedings WMCSA’99. Second IEEE Workshop on Mobile Computing Systems and Applications. 90–100. https://doi.org/10.1109/MCSA.1999.749281
[16]
Mukesh Saini, Abdulhameed Alelaiwi, and Abdulmotaleb El Saddik. 2015. How Close Are We to Realizing a Pragmatic VANET Solution? A Meta-Survey. ACM Comput. Surv. 48, 2, Article 29 (nov 2015), 40 pages. https://doi.org/10.1145/2817552
[17]
Sibylle Schaller and Dave Hood. 2017. Software Defined Networking Architecture Standardization. Computer Standards & Interfaces 54 (2017), 197–202.
[18]
Gokhan Secinti, Berk Canberk, Trung Duong, and Lei Shu. 2017. Software Defined Architecture for VANET: A Testbed Implementation with Wireless Access Management. IEEE Communications Magazine 55, 7 (2017), 135–141.
[19]
Evjola Spaho, Leonard Barolli, Gjergji Mino, Fatos Xhafa, and Vladi Kolici. 2011. VANET Simulators: A Survey on Mobility and Routing Protocols. In 2011 International Conference on Broadband and Wireless Computing, Communication and Applications. 1–10. https://doi.org/10.1109/BWCCA.2011.11
[20]
Kalupahana Liyanage Kushan Sudheera, Maode Ma, Nawaz Ali, and Peter Han Joo Chong. 2016. Delay Efficient Software Defined Networking Based Architecture for Vehicular Networks. In 2016 IEEE International Conference on Communication Systems (ICCS). IEEE, 1–6.
[21]
Norbert Varga, László Bokor, András Takács, József Kovács, and László Virág. 2017. An Architecture Proposal for V2X Communication-centric Traffic Light Controller Systems. In 2017 15th International Conference on ITS Telecommunications (ITST). IEEE, 1–7.
[22]
Julia Silva Weber, Miguel Neves, and Tiago Ferreto. 2021. VANET Simulators: an Updated Review. Journal of the Brazilian Computer Society 27, 1 (2021), 1–31.
[23]
Yang Yang and Kun Hua. 2019. Emerging Technologies for 5G-Enabled Vehicular Networks. IEEE Access 7(2019). https://doi.org/10.1109/ACCESS.2019.2954466
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Published In
June 2022
134 pages
ISBN:9781450396516
DOI:10.1145/3532577
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Published: 22 June 2022
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