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

Takayuki Kimura, Hiroyuki Nakajima and Tohru Ikeguchi

Physica A: Statistical Mechanics and its Applications, 2007, vol. 376, issue C, 658-672

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.

Keywords: Neural network; Packet routing; Decentralized control; Computer network; Complex network (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:376:y:2007:i:c:p:658-672

DOI: 10.1016/j.physa.2006.10.061

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