Wireless Personal Communications

, Volume 77, Issue 4, pp 3027–3040 | Cite as

Network Selection Based on Weight Estimation of QoS Parameters in Heterogeneous Wireless Multimedia Networks

Article

Abstract

Network selection in a heterogeneous wireless environment is a major challenge to ensue seamless mobility across different radio air interfaces. To provide the desired quality of service for a given application in a multimedia environment, different parameters, including delay, bandwidth, packet loss and cost per byte, play an important role in network selection. In this paper, we present a novel algorithm for optimal network selection. A heterogeneous environment consisting of four networks, UMTS, WLAN, GPRS and WiMAX has been considered. We propose a network selection algorithm in which weight estimation for the representative set of the network attributes is computed using entropy and technique for order preference by similarity to ideal solution approach. The numerical results show that the proposed model can be effectively implemented to select the desired network in a heterogeneous environment employing triple-play services.

Keywords

Heterogeneous wireless networks Threshold QoS  Entropy Multimedia 

References

  1. 1.
    Huszák, Á., & Imre, S. (2009). Multipath video streaming using GRA network ordering algorithm without rank inconsistency. Journal on Information Technologies & Communications, Special issue on Tools, modelling techniques and analysis aspects of heterogeneous networks. Research, development and application on information and telecommunication technology. E-1, Number 1(5), 43–58.Google Scholar
  2. 2.
    Gustafsson, E., & Jonsson, A. (Feb. 2003). Always Best Connected. IEEE Wireless Communications, 10(1), 49–55.Google Scholar
  3. 3.
    Gódor, G., & Détári, G. (2007). Novel network selection algorithm for various wireless network interfaces. Mobile and Wireless Communications Summit, 16(1), 1–5.Google Scholar
  4. 4.
    Yi-Fel, W., Ywhan, H., & Ju-De, S. (2007). Network selection strategy in heterogeneous multi-access environment. The Journal of China Universities of Posts and Telecommunications, 14(Supplement 1), 16–20.Google Scholar
  5. 5.
    Cai, X., Chen, L., & Sofia, R. (2007). Dynamic and user-centric network selection in heterogeneous networks. In Performance, Computing, and Communications Conference, 2007. IPCCC 2007 (pp. 538–544). Publication Date: 11–13, Location: New Orleans, LA, April, 2007.Google Scholar
  6. 6.
    Isaksson, L., & Fiedler, M. (2007). Seamless connectivity in wlan and cellular networks with multi criteria decision making. In Proceedings of 3rd EuroNGI Conference on Next Generation Internet Networks (pp. 56–63), 21–23 May 2007.Google Scholar
  7. 7.
    Liu, Y. (2008). Access network selection in a 4G networking environment. MASc, 2007. (Y. Liu is employed by RIM, Waterloo, Canada). Approved date 18 Jan 2008.Google Scholar
  8. 8.
    Bari, F., & Leung, V. C. M. (2007). Automated network selection in a heterogeneous wireless network environment. IEEE Network, 21(1), 34–40, The University of British Columbia.Google Scholar
  9. 9.
    Piamrat, K., Viho, C., Ksentini, A., & Bonnin, J.-M. (2008). Resource management in mobile heterogeneous networks: State of the art and challenges. System communicants Projet Dionysos Publication interne n\(^\circ \) 1889—February 2008—31 pages. INRIA-00261976, Version 1–11. Mar, 2008.Google Scholar
  10. 10.
    Andersson, K. (2008). On access network selection models in heterogeneous networking environments. Licentiate thesis, Lulea Teknishka Universitet.Google Scholar
  11. 11.
    Chung, T.-Y., Yuan, F.-C., Chen, Y.-M., & Liu, B.-J. (2008). S3: Smart session selection for voice communications in next generation wireless network. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E91–A(10), 2995–3002.CrossRefGoogle Scholar
  12. 12.
    Leni, A. E. S., & Srivatsa, S. K. (2008). A novel mechanism to reduce handoff delay in next generation wireless networks. Advances in Wireless and Mobile Communications,1, 37–49, ISSN 0973–6972.Google Scholar
  13. 13.
    Jawad, M. S., Ismail, W., Singh, M. S. J., & Kejuruteraan, K. (2008). Optimizing network selection to support end-user QOS requirements for next generation networks. IJCSNS International Journal of Computer Science and Network Security, 8(6), 113–117.Google Scholar
  14. 14.
    Ahluwalia, P., & Varshney, U. (2009). Composite quality of service and decision making perspectives in wireless networks. Decision Support Systems, 46(2), 542–551.CrossRefGoogle Scholar
  15. 15.
    Sgora, A., Vergados, D. D., & Chatzimisios, P. (2010). An access network selection algorithm for heterogeneous wireless environments. IEEE Symposium onComputers and Communications (ISCC), 890–892.Google Scholar
  16. 16.
    Yang, S.-J., & Tseng, W.-C. (2011). Utilizing weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks. International Conference onWireless Communications and Signal Processing (WCSP), 1–6.Google Scholar
  17. 17.
    Chamodrakas, I., & Martakos, D. (2012). A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks. Applied Soft Computing, 12, 1929–1938.CrossRefGoogle Scholar
  18. 18.
    Tawil, R., Demerjian, V. J., & Pujolle, G. (2008). A trusted handoff decision scheme for the next generation wireless networks. IJCSNS International Journal of Computer Science and Network Security, 8(6), 174–182.Google Scholar
  19. 19.
    Bakmaz, B., Bojkovic, Z., & Bakmaz, M. Network selection algorithm for heterogeneous wireless environment. In The 18th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio, Communications (PIMRC’07).Google Scholar
  20. 20.
    ITU-T Rec. Y.1541. Network Performance Objectives for IP-Based Services, May 2002/Feb. 2006.Google Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.DAVIETJalandharIndia
  2. 2.NITKurukshetraIndia
  3. 3.Thapar UniversityPatialaIndia

Personalised recommendations