Congestion detection and control in partial mesh using bayesian approach

Tauseef Gulrez*, Rajib Chakraborty, Rami Al-Hmouz, Zenon Chaczko, Md Russell Iqbal

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper presents the method of estimating of congestions in a partial mesh communication network comprises of many nodes such as the internet. The objectives are to characterize and model the non-stationary packet arrival process and to apply the model in adaptive routing algorithms. To achieve this, Bayesian estimation algorithms are implemented and used to determine the congestion of packet-queues in a prescribed interval time. The model is implemented in a state-space formation for estimating the arrival rate and occupancy at a network node. Bayesian method is used to predict the optimal size of the state vector in the proposed model with the aim to eliminate congestion through application of suitable adaptive routing algorithm.

Original languageEnglish
Title of host publicationStudent Conference on Engineering Sciences and Technology, SCONEST 2004 - An International Multi-topic Conference by IEEE Student Branches at Jinnah University for Women, NED University of Engineering
Pages152-157
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventStudent Conference on Engineering Sciences and Technology, SCONEST 2004 - Karachi, Pakistan
Duration: Dec 29 2004Dec 30 2004

Publication series

NameStudent Conference on Engineering Sciences and Technology, SCONEST 2004

Conference

ConferenceStudent Conference on Engineering Sciences and Technology, SCONEST 2004
Country/TerritoryPakistan
CityKarachi
Period12/29/0412/30/04

Keywords

  • Adaptive routing
  • Bayesian estimation
  • Congestions
  • Nodes
  • Packet-queues and state vector
  • Partial mesh

ASJC Scopus subject areas

  • Engineering(all)

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