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A packet routing method for complex networks by a stochastic neural network

Author

Listed:
  • Kimura, Takayuki
  • Nakajima, Hiroyuki
  • Ikeguchi, Tohru

Abstract

We propose a new algorithm for controling packet routing by a neural network. First, we show that the conventional method for a packet routing control using a neural network is not so effective when it is applied to a network with irregular topology. To overcome this problem, we propose a modified method with stochastic effects. In the present paper, we evaluated our proposed method for irregular, randomized and scale-free networks. Further, we compared our method with the conventional method and another modified method. We show that our proposed method exhibits better performance than the conventional routing method.

Suggested Citation

  • Kimura, Takayuki & Nakajima, Hiroyuki & Ikeguchi, Tohru, 2007. "A packet routing method for complex networks by a stochastic neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 658-672.
  • Handle: RePEc:eee:phsmap:v:376:y:2007:i:c:p:658-672
    DOI: 10.1016/j.physa.2006.10.061
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    References listed on IDEAS

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    1. Horiguchi, Tsuyoshi & Hayashi, Keisuke & Tretiakov, Alexei, 2005. "Reinforcement learning for congestion-avoidance in packet flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(1), pages 329-348.
    2. Horiguchi, Tsuyoshi & Ishioka, Shigeki, 2001. "Routing control of packet flow using neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 297(3), pages 521-531.
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    Cited by:

    1. Yoshida, Akinori & Shimada, Yutaka & Kimura, Takayuki, 2021. "Efficient routing strategy with transmission history information and its surrogate analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).

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    1. Yoshida, Akinori & Shimada, Yutaka & Kimura, Takayuki, 2021. "Efficient routing strategy with transmission history information and its surrogate analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).

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