[1]Naoki WAKAMIYA,Kenji LEIBNITZ,Masayuki MURATA.Biologically inspired self-organizing networks[J].智能系统学报,2009,4(04):369-375.
 Naoki WAKAMIYA,Kenji LEIBNITZ,Masayuki MURATA.Biologically inspired self-organizing networks[J].CAAI Transactions on Intelligent Systems,2009,4(04):369-375.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第4卷
期数:
2009年04期
页码:
369-375
栏目:
出版日期:
2009-08-25

文章信息/Info

Title:
Biologically inspired self-organizing networks
文章编号:
1673-4785(2009)04-0369-07
作者:
Naoki WAKAMIYA Kenji LEIBNITZ Masayuki MURATA
raduate School of Information Science and Technology,Osaka University, Osaka 5650871, Japan
Author(s):
Naoki WAKAMIYA Kenji LEIBNITZ Masayuki MURATA
raduate School of Information Science and Technology,Osaka University, Osaka 5650871, Japan
关键词:
selforganization biological systemsadaptability robustness swarm intelligence attractor selection
Keywords:
selforganization biological systemsadaptability robustness swarm intelligence attractor selection
分类号:
TP18
文献标志码:
A
摘要:
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.
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.

参考文献/References:

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备注/Memo

备注/Memo:
About the authors:
Naoki Wakamiyaisan is an associate professor of Graduate Schoolof Information Science and Technology,Osaka Univeristy. He is a senior member of IEICE and a member of IPSJ. ACM, and IEEE. Hisresearch interests include overlaynetworks, sensor networks, and mobile adhoc networks.
Kenji Leibnitz is specially appointed associate professor of Graduate School of Information Science & Technology, Osaka University.His current research mainly deals with applying biologicallyinspired mechanisms to information networks.
Masayuki Murata is a professor of Osaka University. His current research topics include integrated multimedia QoS architecture,feedback mechanism in packet switching networks,highspeed transport architecture,highspeed packet switching architecture,Internet traffic characterization and its application,photonic network architecture,integrated wired/wireless communication architecture.
更新日期/Last Update: 2009-11-16