Journal on Communications ›› 2014, Vol. 35 ›› Issue (1): 148-155.doi: 10.3969/j.issn.1000-436x.2014.01.017

• Academic communication • Previous Articles     Next Articles

Fair and efficient network congestion control algorithm based on minority game with local information

Zu-xi WANG,Zhao-zhang DENG,Li LI   

  1. National Key Laboratory of Science and Technology on Multispectral Information Processing,School of Automation,Huazhong University of Science & Technology ,Wuhan 430074,China
  • Online:2014-01-25 Published:2017-06-17
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

Low link utility,RTT unfairness and unfairness of Multi-Bottleneck network are the existing problems in the present network congestion control algorithms at large.Considering the local information of network,a congestion control model based on minority game (MG) with local information was proposed to solve these problems.Based on the model,a congestion control algorithm was designed.The result of simulation indicates that the proposed algorithm has good performance on link utilization and fairness of RTT flow in multi-bottleneck network.

Key words: congestion control, local information, minority game

No Suggested Reading articles found!