[1]Naoki WAKAMIYA,Kenji LEIBNITZ,Masayuki MURATA.Biologically inspired self-organizing networks[J].CAAI Transactions on Intelligent Systems,2009,4(4):369-375.
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Biologically inspired self-organizing networks

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 4 Page number: 369-375 Column: 学术论文—机器学习 Public date: 2009-08-25
Title:
Biologically inspired self-organizing networks
Author(s):
Naoki WAKAMIYA;  Kenji LEIBNITZ;  Masayuki MURATA
raduate School of Information Science and Technology,Osaka University, Osaka 5650871, Japan
Keywords:
selforganization;  biological systems; adaptability;  robustness;  swarm intelligence;  attractor selection
CLC:
TP18
DOI:
-
Abstract:
Information networks are becoming more and more complex to accommodate a continuously increasing amount of traffic and networked devices, as well as having to cope with a growing diversity of operating environments and applications. Therefore, it is foreseeable that future information networks will frequently face unexpected problems, some of which could lead to the complete collapse of a network. To tackle this problem, recent attempts have been made to design novel network architectures which achieve a high level of scalability, adaptability, and robustness by taking inspiration from selforganizing biological systems. The objective of this paper is to discuss biologically inspired networking technologies.
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