Skip to main content
SpringerLink
Log in

A QoS Model for Real-Time Application in Wireless Network Using Software Defined Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Network convergence has vital importance due to limited network resources. Though it decreases network cost, it also reduces Quality of Service (QoS) as well. Due to the increase in real-time network applications, such as video conferencing and voice over IP calls, there is a need to achieve fairness in user's demand through QoS. QoS measurement tasks are more challenging and increased network losses in infrastructure less network. QoS is not yet implemented in Wireless Local Area Network (WLAN) using Software Defined Network (SDN). We have proposed a model to support QoS in WLAN using SDN architecture for real-time traffic. It is efficiently utilizing bandwidth and reducing flow starvation due to centralize control. We named it, an Adaptive QoS model. This model allocates queues dynamically to flows using real-time traffic analysis in SDN architecture. A specific queue is allocated to a specific type of traffic. Flows are dynamically switched based on the increase in traffic demand if other queues are under-use. We achieved handsome improvement in Adaptive QoS model rather than a standard QoS model in terms of throughput and losses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Aceto, G., Botta, A., de Donato, W., & Pescapè, A. (2013). D-ITG: Distributed Internet Traffic Generator. PIK-Praxis der Informationsverarbeitung und Kommunikation,36(1), 49.

    Google Scholar 

  2. Alvizu, R., Maier, G., Kukreja, N., Pattavina, A., Morro, R., Capello, A., et al. (2017). Comprehensive survey on T-SDN: Software-defined networking for transport networks. IEEE Communications Surveys & Tutorials,19(4), 2232–2283.

    Article  Google Scholar 

  3. Bawany, N. Z., & Shamsi, J. A. (2015). Smart city architecture: Vision and challenges. International Journal of Advanced Computer Science and Applications,6(11), 246–255.

    Google Scholar 

  4. Blake, S., Black, D., Carlson, M., Davies, E., Wang, Z., & Weiss, W. (1998). An architecture for differentiated services. RFC 2475, Internet Engineering Task Force, December 1998. https://tools.ietf.org/html/rfc2475.

  5. Bulkeley, H., McGuirk, P. M., & Dowling, R. (2016). Making a smart city for the smart grid? The urban material politics of actualising smart electricity networks. Environment and Planning A,48(9), 1709–1726.

    Article  Google Scholar 

  6. Cai, Z., Cox, A. L., & Ng, T. (2010). Maestro, “A system for scalable openflow control”, Technical eeport TR, pp. 10–08.

  7. Chen, M., Mau, D. O., Zhang, Y., Taleb, T., & Leung, V. C. (2014). VENDNET: Vehicular named data network. Vehicular Communications,1(4), 208–213.

    Article  Google Scholar 

  8. Choi, S., Del Prado, J., & Mangold, S. (2003). IEEE 802.11 e contention-based channel access (EDCF) performance evaluation. Paper presented at the IEEE international conference on communications, 2003. ICC’03.

  9. Doria, A., Salim, J. H., Haas, R., Khosravi, H. M., Wang, W., Dong, L., et al. (2010). Forwarding and control element separation (forCES) protocol specification. RFC, 5810, 1–124.

    Google Scholar 

  10. Erickson, D. (2013). The beacon openflow controller. Paper presented at the Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking.

  11. Foster, N., Harrison, R., Freedman, M. J., Monsanto, C., Rexford, J., Story, A., et al. (2011). Frenetic: A network programming language. Paper presented at the 16th ACM SIGPLAN international conference on functional programming.

  12. Giorgetti, A., Cugini, F., Paolucci, F., & Castoldi, P. (2012). OpenFlow and PCE architectures in wavelength switched optical networks. Paper presented at 2012 16th International conference on the optical network design and modeling (ONDM).

  13. Group, I. W. (1999). Part11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. ANSI/IEEE Std. 802.11.

  14. Gude, N., Koponen, T., Pettit, J., Pfaff, B., Casado, M., McKeown, N., et al. (2008). NOX: Towards an operating system for networks. ACM SIGCOMM Computer Communication Review,38(3), 105–110.

    Article  Google Scholar 

  15. IEEE. (2005). IEEE standard 802.11e-2005 medium access control (MAC) Quality of Service enhancements.

  16. Kataoka, H., Miyashita, Y., Yamabe, T., Shirakabe, S., Sato, S. i., Hoshino, H., et al. (2016). cvpaper. challenge in 2015-A review of CVPR2015 and DeepSurvey. arXiv preprint arXiv:1605.08247.

  17. Kaur, S., Singh, J., & Ghumman, N. S. (2014). Network programmability using POX controller. Paper presented at the ICCCS International conference on communication, computing & systems, IEEE.

  18. Kim, S., & Na, W. (2016). Safe data transmission architecture based on cloud for Internet of Things. Wireless Personal Communications,86(1), 287–300.

    Article  Google Scholar 

  19. Kobo, H. I., Abu-Mahfouz, A. M., & Hancke, G. P. (2017). A survey on software-defined wireless sensor networks: Challenges and design requirements. IEEE Access,5, 1872–1899.

    Article  Google Scholar 

  20. Koch, T. G., Wendling, B. W., & Wilson, N. E. (2017). How vertical integration affects the quantity and cost of care for Medicare beneficiaries. Journal of Health Economics,52, 19–32.

    Article  Google Scholar 

  21. Koerner, M., & Kao, O. (2012). Multiple service load-balancing with OpenFlow. Paper presented at the 2012 IEEE 13th international conference on high performance switching and routing (HPSR).

  22. Lakshman, T., Nandagopal, T., Ramjee, R., Sabnani, K., & Woo, T. (2004). The softrouter architecture. Paper presented at the Proceedings of the ACM SIGCOMM workshop on hot topics in networking.

  23. Ling, X., Cheng, Y., Shen, X., & Mark, J. W. (2008). Voice capacity analysis of WLANS with channel access prioritizing mechanisms. IEEE Communications Magazine,46(1), 82–89.

    Article  Google Scholar 

  24. Link, T. Ultimate wireless N gigabit router, TL-WR1043ND, from https://static.tp-link.com/resources/document/TL-WR1043ND_V1_User_Guide_1910010639.pdf.

  25. Liu, J., Lai, Y., & Zhang, S. (2017). FL-GUARD: A detection and defense system for DDoS attack in SDN. Paper presented at the proceedings of the 2017 international conference on cryptography, security and privacy.

  26. Liu, L., Choi, H. Y., Casellas, R., Tsuritani, T., Morita, I., Martínez, R., et al. (2013). Demonstration of a dynamic transparent optical network employing flexible transmitters/receivers controlled by an OpenFlow-stateless PCE integrated control plane. IEEE/OSA Journal of Optical Communications and Networking,5(10), A66–A75.

    Article  Google Scholar 

  27. McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., et al. (2008). OpenFlow: Enabling innovation in campus networks. SIGCOMM Computer Communication Review,38(2), 69–74. https://doi.org/10.1145/1355734.1355746.

    Article  Google Scholar 

  28. Naseer, S., Saleem, Y., Khalid, S., Bashir, M. K., Han, J., Iqbal, M. M., et al. (2018). Enhanced network anomaly detection based on deep neural networks. IEEE Access,6, 48231–48246.

    Article  Google Scholar 

  29. Pfaff, B., Lantz, B., & Heller, B. (2012). Openflow switch specification, version 1.3.0 (wire protocol 0x04).

  30. Roy, J. J. J., Vaidehi, V., & Srikanth, S. (2007). A QoS weight based multimedia uplink scheduler for IEEE 802.11 e WLAN. Paper presented at the international conference on signal processing, communications and networking, 2007. ICSCN’07.

  31. Shabbir, G., Akram, A., Iqbal, M. M., Jabbar, S., Alfawair, M., & Chaudhry, J. (2018). Network performance enhancement of multi-sink enabled low power lossy networks in SDN based internet of things. International Journal of Parallel Programming. https://doi.org/10.1007/s10766-018-0620-8.

    Article  Google Scholar 

  32. Openwrt: Wireless freedom. http://www.openwrt.org/. Accessed 25 Dec 2018.

  33. Tilkov, S., & Vinoski, S. (2010). Node.js: Using JavaScript to build high-performance network programs. IEEE Internet Computing,14(6), 80–83.

    Article  Google Scholar 

  34. Tomovic, S., Yoshigoe, K., Maljevic, I., & Radusinovic, I. (2017). Software-defined fog network architecture for iot. Wireless Personal Communications,92(1), 181–196.

    Article  Google Scholar 

  35. Torkaman, H. (2013). Rotor fault analysis and diagnosis in three-phase outer-rotor switched reluctance motor. Paper presented at the power electronics, drive systems and technologies conference (PEDSTC), 2013 4th.

  36. Ullah, F., Wang, J., Farhan, M., Jabbar, S., Naseer, M. K., & Asif, M. (2018). LSA based smart assessment methodology for SDN infrastructure in IoT environment. International Journal of Parallel Programming, 1–16.

  37. Wang, S., Xuan, D., Bettati, R., & Zhao, W. (2004). Providing absolute differentiated services for real-time applications in static-priority scheduling networks. IEEE/ACM Transactions on Networking,12(2), 326–339.

    Article  Google Scholar 

  38. Yao, G., Bi, J., & Xiao, P. (2011). Source address validation solution with OpenFlow/NOX architecture. Paper presented at the 19th IEEE international conference on network protocols (ICNP).

  39. Yu, J., & Choi, S. (2006). Comparison of modified dual queue and EDCA for VoIP over IEEE 802.11 WLAN. Transactions on Emerging Telecommunications Technologies,17(3), 371–382.

    Article  Google Scholar 

  40. Zeng, F. (2013). Design and implementation QoS system based on OpenFlow. Paper presented at the 2013 IEEE international conference on anti-counterfeiting, security and identification (ASID).

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan

    Sayed Qaiser Ali Shah, Farrukh Zeeshan Khan & Muhammad Munwar Iqbal

  2. College of Engineering and Architecture, Al Yamamah University, Riyadh, Saudi Arabia

    Adeel Baig

Authors
  1. Sayed Qaiser Ali Shah
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Farrukh Zeeshan Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Adeel Baig
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Muhammad Munwar Iqbal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Muhammad Munwar Iqbal.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shah, S.Q.A., Khan, F.Z., Baig, A. et al. A QoS Model for Real-Time Application in Wireless Network Using Software Defined Network. Wireless Pers Commun 112, 1025–1044 (2020). https://doi.org/10.1007/s11277-020-07089-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07089-5

Keywords

Search

Navigation