Presentation 2006-03-20
Surrogate analysis of packet routing methods
Takayuki KIMURA, Tohru IKEGUCHI,
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Abstract(in English) Recently, a new packet routing method using chaotic neurodynamics has been proposed by Kimura et al. They also confirmed that the routing method exhibited high performance for networks with various topologies. In this method, the chaotic neurodynamics was used to decentralize the congestion of the packets in the network. However, it is very important to consider whether the chaotic neurodynamics is really effective for decentralizing the congestion of the packets. In this report, we analyze the effectiveness of the routing method to apply the method of surrogate data to time-series of internal states which produce the chaotic neurodynamics. Moreover, from statistical hypothesis testing's viewpoint, we confirm that the routing method using chaotic neurodynamics is the most effective policy to decentralize the congestion of the packets in the computer network.
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Keyword(in English) Chaotic Neural Network / Packet routing / Decentralized control / Surrogate algorithm
Paper # NLP2005-150
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Conference Information
Committee NLP
Conference Date 2006/3/13(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Surrogate analysis of packet routing methods
Sub Title (in English)
Keyword(1) Chaotic Neural Network
Keyword(2) Packet routing
Keyword(3) Decentralized control
Keyword(4) Surrogate algorithm
1st Author's Name Takayuki KIMURA
1st Author's Affiliation Graduate school of Science and Engineering, Saitama University()
2nd Author's Name Tohru IKEGUCHI
2nd Author's Affiliation Graduate school of Science and Engineering, Saitama University:Faculty of Engineering, Saitama University
Date 2006-03-20
Paper # NLP2005-150
Volume (vol) vol.105
Number (no) 675
Page pp.pp.-
#Pages 6
Date of Issue