Intelligent packet shaper to avoid network congestion for improved streaming video quality at clients

M. Kaul, R. Khosla, Y. Mitsukura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This paper proposes a traffic shaping algorithm based on neural networks, which adapts to a network over which streaming video is being transmitted. The purpose of this intelligent shaper being to eradicate all traffic congestion and improve the end-users video quality. It possesses the capability to predict, to a very high level of accuracy, a state of congestion based upon the training data collected about the networks behavior. Initially the current traffic shaping technologies are discussed and later a simulation in a controlled environment is illustrated to exhibit the - effects of this intelligent traffic-shaping algorithm on the underlying network's real time packet traffic and the eradication of unwanted abruptions in the streaming videos quality. This paper concluded from the end result's of the simulation that neural networks are a very superior means of modeling real-time traffic and that it can be applied as an appropriate solution to network congestion.

本文言語English
ホスト出版物のタイトルProceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
ホスト出版物のサブタイトルComputational Intelligence in Robotics and Automation for the New Millennium
出版社Institute of Electrical and Electronics Engineers Inc.
ページ988-993
ページ数6
ISBN(電子版)0780378660
DOI
出版ステータスPublished - 2003
外部発表はい
イベント2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
継続期間: 2003 7月 162003 7月 20

出版物シリーズ

名前Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
2

Other

Other2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
国/地域Japan
CityKobe
Period03/7/1603/7/20

ASJC Scopus subject areas

  • 計算数学

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