Network Selection Scheme Using Taguchi Method for Real-Time Streaming Media Over Heterogeneous Networks

  • Renuka DeshpandeEmail author
  • Lata Ragha
  • Satyendra Kumar Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)


Next generation wireless communication networks needs to integrate various heterogeneous technologies based on an IP core network. Thus it guarantees service continuity, optimum network selection, user mobility and integration of new applications and resources. Integration of various wireless technologies in heterogeneous environment offers best service to every application. However, an automatic interface selection and user preferences based on quality of service parameters such as available resources, bandwidth, network delay or speed, security, and power consumption is desired. Hence network selection scheme explicitly based on user preferences and available resources is required. In this paper, network selection scheme using Taguchi method over heterogeneous wireless communication networks is proposed. Taguchi method assists in analyzing the quality of service parameters so as to satisfy or establish best optimum parameters of the network that further assist in network selection. It also estimates the contribution from the individual parameters affecting the overall performance of the network. Moreover, our results ensure optimum selection of suitable matching network for every flow considering quality of service parameters and user preferences. Network selection scheme finds applications in the area of real-time streaming media, online traffic offloading, reduced delay, optimum utilization of the services, integration of heterogeneous wireless technologies, incorporation of new applications and quality of services through user preferences.


Network selection scheme Taguchi method Quality of service parameters User preferences 


  1. 1.
    Qadeer, M.A., Ahmad, R., Khan, M.S., Ahmad, T.: Real-time video streaming over heterogeneous networks. In: International Conference on Advanced Communication Technology, vol. 2, Mar 2009Google Scholar
  2. 2.
    Pudlewski, S., Cen, N., Guan, Z., Melodia, T.: Video transmission over lossy wireless networks: a cross-layer perspective. IEEE J. Sel. Top. Signal Process. 9(1), 6–21 (2015)CrossRefGoogle Scholar
  3. 3.
    Sen, J., Bhattacharya, S.: A survey on cross-layer design frameworks for multimedia applications over wireless networks. Int. J. Comput. Sci. Inf. Technol. 1(1), 29–42 (2008)Google Scholar
  4. 4.
    Luo, H., Shyu, M.-L.: Quality of service provision in mobile multimedia—a survey. Human-centric Comput. Inf. Sci. A Springer Open J. 1(1) (2011)CrossRefGoogle Scholar
  5. 5.
    Chen, J.-Y., Chiu, C.-W., Li, G.-L., Chen, M.-J.: Burst-aware dynamic rate control for H.264/AVC video streaming. IEEE Trans. Broadcast. 57(1), 89–93 (2011)CrossRefGoogle Scholar
  6. 6.
    Egilmez, H.E., Civanlar, S., Tekalp, A.M.: An optimization frame work for QoS-enabled adaptive video streaming over openflow networks. IEEE Trans. Multimed. 15(3), 710–715 (2013)CrossRefGoogle Scholar
  7. 7.
    Balk, A., Maggiorini, D., Gerla, M., Sanadidi, M.Y.: Adaptive MPEG-4 video streaming with bandwidth estimation. In: Quality of Service in Multiservice IP Net works, Second International Workshop, QoS-IP 2003, Feb 2003CrossRefGoogle Scholar
  8. 8.
    Ji, W., Li, Z., Chen, Y.: Joint source-channel coding and optimization for layered video broadcasting to heterogeneous devices. IEEE Trans. Multimed. 14(2), 443–455 (2012)CrossRefGoogle Scholar
  9. 9.
    Dreibholz, T., Becke, M., Pulinthanath, J., Rathgeb, E.P.: Implementation and evaluation of concurrent multipath transfer for SCTP in the INET framework. In: 3rd International ICST Conference on Simulation Tools and Techniques, Mar 2010Google Scholar
  10. 10.
    Liao, J., Wang, J., Li, T., Zhu, X.: Introducing multipath selection for concurrent multipath transfer in the future Internet. Elsevier Comput. Netw. 55, 1024–1035 (2011)CrossRefGoogle Scholar
  11. 11.
    Jacob, J.S., Preetha, K.G.: A QoS based network selection scheme for 4G systems with preplanner for emergency services. In: IEEE International Conference on Computing, Communication and Networking Technologies, India (2013)Google Scholar
  12. 12.
    Kuboniwa, J., et al.: High efficient network selection scheme using location information for heterogeneous wireless system. In: IEEE International Wireless Distributed Networks Workshop on Cooperative and Heterogeneous Cellular Networks, USA (2015)Google Scholar
  13. 13.
    Awad, A., Mohamed, A., Chiasserini, C.-F.: Dynamic network selection in heterogeneous wireless networks. IEEE Consum. Electron. 6(1), 53–60 (2017)Google Scholar
  14. 14.
    Hwang, R.H., Cheng, K.C.: Novel QoS guaranteed cell selection schemes in LTE-A heterogeneous networks. In: 2017 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media), Pattaya, pp. 1–5 (2017)Google Scholar
  15. 15.
    Roy, R.: A primer on the Taguchi’s method. In: Van Nostrand Reinfold International Company Limited, 1990Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Renuka Deshpande
    • 1
    Email author
  • Lata Ragha
    • 2
  • Satyendra Kumar Sharma
    • 3
  1. 1.Faculty of EngineeringPacific Academy of Higher Education and Research UniversityUdaipurIndia
  2. 2.Department of Computer EngineeringFr. C. Rodrigues Institute of TechnologyNavi MumbaiIndia
  3. 3.Modern Institute of TechnologyAlwarIndia

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