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Biologically inspired self-organizing networks

Naoki WAKAMIYA Kenji LEIBNITZ Masayuki MURATA

智能系统学报2009,Vol.4Issue(4):369-375,7.
智能系统学报2009,Vol.4Issue(4):369-375,7.DOI:10.3969/j.issn.1673-4785.2009.04.015

Biologically inspired self-organizing networks

Biologically inspired self-organizing networks

Naoki WAKAMIYA 1Kenji LEIBNITZ 2Masayuki MURATA1

作者信息

  • 1. Osaka University
  • 折叠

摘要

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.

关键词

self-organization/ biological systems/adaptability/ robustness/ swarm intelligence/ attractor selection

Key words

self-organization/ biological systems/adaptability/ robustness/ swarm intelligence/ attractor selection

分类

信息技术与安全科学

引用本文复制引用

Naoki WAKAMIYA,Kenji LEIBNITZ,Masayuki MURATA..Biologically inspired self-organizing networks[J].智能系统学报,2009,4(4):369-375,7.

智能系统学报

OACSTPCD

1673-4785

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