Presentation 2011-07-08
Novel Chaotic Neural Network Approach for Packet Routing Problems
Takayuki KIMURA, Takefumi HIRAGURI, Kenya JIN'NO,
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Abstract(in English) To establish reliable communicate between users, alleviation of the packet congestion in the communication networks is the most important issue. As one of the effective routing methods for reliable communication, we have already proposed a routing method with chaotic neurodynamics. By a refractory effect which is the most important effect of chaotic neuron, the proposed routing method shows high performance for communication networks as compared to the conventional routing methods. In addition, we improved the routing method by combining information of the shortest paths and waiting times at adjacent nodes. As a result, we confirmed that the routing method is the most effective policy to alleviate the congestion of the packets. However, in the previous works, the chaotic routing method was evaluated for ideal communication networks; each node has same transmission capability and same size of buffer. From a view point of realistic application of the chaotic routing method, it is important to evaluate the performance of the routing method under more realistic conditions. In 2007, M.Hu et al. proposed a realistic communication network in which the largest storage capacity and processing capability are introduced. Thus, in this report, we evaluate the chaotic routing method for the communication networks. Results show that the chaotic routing method keeps the highest arrival rate of the packets as compared to the conventional routing methods. Then, we confirmed that the chaotic routing method has much possibility for application in the real communication networks.
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Keyword(in English) Chaotic Neural Network / Routing Problems / Complex Network
Paper # CS2011-28
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Committee CS
Conference Date 2011/6/30(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Novel Chaotic Neural Network Approach for Packet Routing Problems
Sub Title (in English)
Keyword(1) Chaotic Neural Network
Keyword(2) Routing Problems
Keyword(3) Complex Network
1st Author's Name Takayuki KIMURA
1st Author's Affiliation Department of Electrical and Electronic Engineering, Nippon Institute of Technology()
2nd Author's Name Takefumi HIRAGURI
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Nippon Institute of Technology
3rd Author's Name Kenya JIN'NO
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Nippon Institute of Technology
Date 2011-07-08
Paper # CS2011-28
Volume (vol) vol.111
Number (no) 117
Page pp.pp.-
#Pages 6
Date of Issue