Active queue management algorithm considering queue and load states

Jaesung Hong, Changhee Joo, Saewoong Bahk

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

In this paper, we propose a new AQM algorithm that considers both the average queue length and the estimated packet arrival rate together in order to detect incipient congestion. The proposed algorithm predicts the average queue length and controls it to maintain a certain reference value to achieve high link utilization and low queueing delay. It also has low complexity and easy configuration. Simulation results validate the performance of the proposed algorithm under various environments and show its advantage over other existing AQM algorithms.

Original languageEnglish
Pages (from-to)886-892
Number of pages7
JournalComputer Communications
Volume30
Issue number4
DOIs
Publication statusPublished - 2007 Feb 26
Externally publishedYes

Keywords

  • Active queue management
  • Congestion control
  • Random early detection

ASJC Scopus subject areas

  • Computer Networks and Communications

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