Random exponential marking algorithm based on enhanced price

Hao Wang, Yu Gang Niu

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Abstract

Random exponential marking (REM) is an effective algorithm for active queue management (AQM), but suffers from some drawbacks such as slow convergence speed, and slow sluggish response to dynamic network traffic. Theoretical analysis shows that REM has similar property to PI scheme which could not detect congestion effectively. To overcome these shortcomings, an enhanced REM algorithm, EPREM, is proposed, in which an enhanced price is added and bandwidth-buffer proportion factor is introduced to tune the parameter λ. The simulation experiments based on NS2 show that EPREM can achieve faster convergence speed and better adaptive to variable network conditions.

Original languageEnglish
Pages (from-to)457-461
Number of pages5
JournalHuadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology
Volume35
Issue number3
Publication statusPublished - 1 Jun 2009
Externally publishedYes

Keywords

  • Active queue management
  • Bandwidth-buffer proportion factor
  • Network congestion control
  • Price
  • Random exponential marking

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