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

M. Kaul, R. Khosla, Y. Mitsukura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
Subtitle of host publicationComputational Intelligence in Robotics and Automation for the New Millennium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages988-993
Number of pages6
ISBN (Electronic)0780378660
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
Duration: 2003 Jul 162003 Jul 20

Publication series

NameProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Volume2

Other

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

ASJC Scopus subject areas

  • Computational Mathematics

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