Adaptive optimization for active queue management supporting TCP flows

Simone Baldi, Elias B. Kosmatopoulos, Andreas Pitsillides, Marios Lestas, Petros A. Ioannou, Yiming Wan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
53 Downloads (Pure)


An adaptive decentralized strategy for active queue management of TCP flows over communication networks is presented. The proposed strategy solves locally, at each link, an optimal control problem, minimizing a cost composed of residual capacity and buffer queue size. The solution of the optimal control problem exploits an adaptive optimization algorithm aiming at adaptively minimizing a suitable approximation of the Hamilton-Jacobi-Bellman equation associated with the optimal control problem. Simulations results, obtained by using a fluid flow based model of the communication network and a common network topology, show improvement with respect to the Random Early Detection strategy. Besides, it is shown that the performance of the proposed decentralized solution is comparable with the performance obtained with a centralized strategy, which solves the optimal control problem via a central unit that maintains the flow states of the entire network.

Original languageEnglish
Title of host publicationProceedings of the 2016 American Control Conference (ACC2016)
EditorsGeorge Chiu, Katie Johnson, Danny Abramovitch
Place of PublicationPiscataway, NJ, USA
ISBN (Electronic)978-1-4673-8682-1
Publication statusPublished - 2016
EventAmerican Control Conference (ACC), 2016 - Boston, MA, United States
Duration: 6 Jul 20168 Jul 2016


ConferenceAmerican Control Conference (ACC), 2016
Abbreviated titleACC 2016
Country/TerritoryUnited States
CityBoston, MA

Bibliographical note

Accepted Author Manuscript


  • Protocols
  • Communication networks
  • Optimal control
  • Mathematical model
  • Delays
  • Optimization


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