Network congestion avoidance strategy with particle filter

  • Authors:

  • Xiaolong Qian;Yuanwei Jing;Jing Tian

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, Shenyang 110004, China;College of Information Science and Engineering, Northeastern University, Shenyang 110004, China;College of Information Science and Engineering, Northeastern University, Shenyang 110004, China

  • Venue:
  • Computer Communications
  • Year:
  • 2008

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Abstract

Based on the property of Markov chain for network data, a new estimator with particle filter is proposed for congestion control in this paper. The proposed scheme can predict the traffic patterns by the decision-making model. Compared with previous scheme based on fuzzy neural network, the proposed scheme can adaptively adjust the network rate in real-time and reduce the cell loss rate, so that it can efficiently avoid the traffic congestion. Simulation results are shown to be promising.