Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks

R. Barzamini, M. Shafiee, A. Dadlani

Research output: Contribution to journalArticlepeer-review

41 Citations (Scopus)


Generic generalized minimum variance-based (GMV) controllers have been adopted as efficient control mechanisms especially in presence of measurement noise. However, such controllers exhibit degraded performance with change in process dynamics. To overcome this problem, a novel congestion controller based on active queue management (AQM) strategy for dynamically varying TCP/AQM networks known as adaptive generalized minimum variance (AGMV) is proposed. AGMV is the combination of the real-time parameter estimation and GMV. The performance of the proposed scheme is evaluated and compared with its adaptive minimum variance (AMV) counterpart under two distinct scenarios: TCP network with unknown parameters and TCP network with time varying parameters. Simulation results indicate that, in either case, AGMV is able to keep the queue length around the desired point. In addition, the superior performance of the proposed controller has been shown with regard to the PI controller, which is well-known in the AQM domain.

Original languageEnglish
Pages (from-to)170-178
Number of pages9
JournalComputer Communications
Issue number2
Publication statusPublished - Jan 15 2012
Externally publishedYes


  • Active queue management (AQM)
  • Adaptive generalized minimum variance (AGMV)
  • Congestion control
  • Transmission control protocol (TCP)

ASJC Scopus subject areas

  • Computer Networks and Communications

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