Delay-aware congestion control with self-tuning robustness

Tianxiang Qi, Hao Wang

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Congestion control mechanisms are essential to stabilize the network system and provision quality of service. In this paper, we propose a robust congestion control scheme for time-delay and dynamic networks. First, a Smith predictor is used to compensate for time delay in the data transmission. Second, an active queue management controller is derived using internal model control theory for strong robustness. Third, we design a fuzzy-logic tuning rule to adapt the filter coefficient of the queue length controller to the time-varying network dynamics. We evaluate the performance of our proposed algorithm in the Network Simulator (NS2). The results demonstrate that our proposed algorithm is robust against time delay and dynamic traffics.

Original languageEnglish
Title of host publicationProceedings of 2015 IEEE 16th International Conference on Communication Technology (ICCT)
EditorsMengqi Zhou, Zhiqun Cheng
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781467370042, 9781467370059, 9781467370035
ISBN (Print)9781467370042
Publication statusPublished - 2016
Externally publishedYes
EventIEEE International Conference on Communication Technology 2015 - Hangzhou, China
Duration: 18 Oct 201521 Oct 2015
Conference number: 16th


ConferenceIEEE International Conference on Communication Technology 2015
Abbreviated titleICCT 2015
Internet address


  • Active queue management
  • Congestion control
  • Fuzzy logic
  • internal model control
  • Robustness
  • Self-Tuning
  • Smith predictor
  • Time delay

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