Characteristic Function for Variable-Bit-Rate Multimedia QoS

  • Neela Rakesh
  • Hemanta Kumar Pati
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 309)


Multimedia users are numerously increasing with the increase in Internet users. To be able to provide QoS to such users, it is important to understand how VBR multimedia QoS varies with its bandwidth characteristics. In this paper, we proposed a generic mathematical model for variable-bit-rate multimedia QoS which is applicable to various wireless network systems. This paper comprises of characteristic function for variable-bit-rate multimedia QoS using bandwidth terminology, such as minimum bandwidth of the connection and maximum bandwidth acceptable condition. We have provided numerical results required for verification and validation of the proposed model. This model is very useful for understanding how the wireless system behaves in terms of QoS while allocating bandwidth to variable-bit-rate multimedia traffic.


Soft real time Variable-bit-rate traffic Multimedia QoS Geometric distribution 


  1. 1.
    Hwang, J.N.: Multimedia networking: from theory to practice. Cambridge University Edition, Cambridge (2009)CrossRefGoogle Scholar
  2. 2.
    Khanvilkar, S., Bashir, F., Schonfeld, D., Khokhar, A.: Multimedia networks and communication. (2004)
  3. 3.
    Sahinoglu, Z., Tekinay, S.: On multimedia networks: self-similarity traffic and network performance. IEEE Commun. Mag. 37, 48–52 (1999)CrossRefGoogle Scholar
  4. 4.
    Tanwir, S., Perros, H.: A survey of VBR video traffic models. IEEE Commun. Surv. Tutorials 15(4), 1778–1802 (2013)CrossRefGoogle Scholar
  5. 5.
    Akyildiz, I.F., Melodia, T., Chowdury, K.R.: A wireless multimedia sensor networks: a survey. IEEE Wirel. Commun. 14(6), 32–39 (2007)CrossRefGoogle Scholar
  6. 6.
    Cerqueira, E., Veloso, L., Curado, M., Monteiro, E., Mendes, P.: QoS mapping and adaptation control for multi-user sessions over heterogeneous wireless networks. MobiMedia (2007)Google Scholar
  7. 7.
    Shin, J., Kim, J.G., Kim, J.W., Lee, D.C., Jay Kuo, C.C.: Aggregated QoS mapping framework for relative service differentiation-aware video streaming. Packet Video Workshop (2001)Google Scholar
  8. 8.
    Cerqueira, E., Veloso, l., Neto, A., Curado, M.: A unifying architecture for publish-subscribe services in the next generation IP networks. IEEE Global Telecommunications Conference, pp. 1–5 (2006)Google Scholar
  9. 9.
    Oliveira, C., Kim, J.B., Suda, T.: An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks. IEEE JSAC. 16(6), 858–874 (1998)Google Scholar
  10. 10.
  11. 11.
    Papoulis, A., Pillai, S.U.: Probability, Random Variables and Stochastic Process, 4th edn. Tata Mc-Graw hill, New Delhi (2009)Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringIIIT BhubaneswarBhubaneswarIndia

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