Earticle

초록

영어

In order to better establish no-reference video quality assessment model considering the network packet loss and further gain a better QoE evaluation to meet the needs of the user’s, so we build NS2+ MyEvalvid simulation platform to study the scale characteristic of the network packet loss, scale characteristic of packet loss through the influence of packet loss rate to influence QoE. The experimental results show that, packet loss processes has long-range dependence, the number of superimposed source N, shape parameter, Hurst parameter, the output link speed have impacts on long-range dependence. We came to the conclusion that when superimposed source N is more, shape parameter is smaller, Hurst parameter is bigger, the output link speed is smaller, packet loss’s long range dependence is larger, packet loss rate is high.

목차

Abstract
 1. Introduction
 2. NS2’s Principle of Generating Self-Similar Traffic
 3. The Definition of Self-Similar Processes
 4. Influence Factors of Long-Range Dependence
  4.1. The Influences of Superimposed Source N on Long-Range Dependence
  4.2. The Influences of Shape Parameter on Long-Range Dependence
  4.3. The Influences of Hurst Parameter on Long-Range Dependence
  4.4. The Influences of the Output Link Speed on Long-Range Dependence
 5. Conclusion
 References

키워드

저자

• Jin Wang [ Shijiazhuang Tiedao University No. 17 Northeast, Second Inner Ring Shijiazhuang, Hebei, P.R.C. 050043 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605