[1]Naoki WAKAMIYA,Kenji LEIBNITZ,Masayuki MURATA.Biologically inspired self-organizing networks[J].智能系统学报,2009,4(4):369-375.
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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Naoki WAKAMIYA,Kenji LEIBNITZ,Masayuki MURATA.Biologically inspired self-organizing networks[J].CAAI Transactions on Intelligent Systems,2009,4(4):369-375.
Biologically inspired self-organizing networks
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
4
期数:
2009年第4期
页码:
369-375
栏目:
学术论文—机器学习
出版日期:
2009-08-25
- Title:
- Biologically inspired self-organizing networks
- 文章编号:
- 1673-4785(2009)04-0369-07
- 关键词:
- selforganization; biological systems; adaptability; robustness; swarm intelligence; attractor selection
- Keywords:
- selforganization; biological systems; adaptability; 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 selforganizing 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 selforganizing biological systems. The objective of this paper is to discuss biologically inspired networking technologies.
- 参考文献/References:
-
［1］BONABEAU E, DORIGO M, THERAULAZ G. Swarm intelligence: from natural to artificial systems［M］. Oxford :Oxford University Press, 1999:251257.
［2］DORIGO M, STUTZLE T. Ant colony optimization［M］. Cambridge: The MIT Press, 2004:152164.
［3］Di CARO G, DORIGO M. AntNet: distributed stigmergetic control for communications networks［J］. Journal of Artificial Intelligence Research, 1998,9: 317365.
［4］STROGATZ S . Sync: the emerging science of spontaneous order［M］. New York ：Hyperion press, 2003:5461.
［5］MIROLLO R E, STROGATZ S H. Synchronization of pulsecoupled biological oscillators［J］. SIAM J Applied Mathematics, 1990, 26(6):16451662.
?［6］WAKAMIYA N, MURATA M. Synchronizationbased data gathering scheme for sensor networks［J］. IEICE Trans on Commun, 2005,E88B(3):873881.
［7］BONABEAU E, SOBKOWSKI A, THERAULAZ G, DENEUBOURG J L. Adaptive task allocation inspired by a model of division of labor in social insects［C］// Proceedings of BCEC97. Sk〖AKo¨〗vde, Sweden，1997:3645.
［8］SASABE M, WAKAMIYA N, MURATA M, MIYAHARA H. Effective methods for scalable and continuous media streaming on peertopeer networks［J］. European Transactions on Telecommunications, 2004,15: 549558.［9］DASGUPTA D. Artificial immune systems and their applications［M］. ［S.l.］：Springer, 1998:3640
［10］HOFMEYR S A, FORREST S. Architecture for an artificial immune system［J］.Evolutionary Computation, 2000,8(4): 443473.
?［11］TURING A M. The chemical basis of morphogenesis［J］. Philosophical Transaction of the Royal Society, 1952, B237：3772,.
?［12］DURVY M, THIRAN P. Reactiondiffusion based transmission patterns for ad hoc networks［C］//Proceedings of IEEE INFOCOM. ［S.l.］, 2005, 3: 21952205.
［13］WAKAMIYA N, HYODO K, MURATA M. Reactiondiffusion based topology selforganization for periodic data gathering in wireless sensor networks［C］//Proceedings of Second IEEE International Conference on SelfAdaptive and SelfOrganizing Systems (SASO 2008). Venice, Italy，2008:351360.
［14］KASHIWAGI A, URABE I, KANEKO K, YOMO T. Adaptive response of a gene network to environmental changes by fitnessinduced attractor selection［J］. PLoS ONE, 2006,1(1):49.
［15］LEIBNITZ K, WAKAMIYA N, MURATA M. Biologicallyinspired selfadaptive multipath routing in overlay networks［J］. Commun，ACM, 2006,49(3): 6267.
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 adhoc networks.
Kenji Leibnitz is specially appointed associate professor of Graduate School of Information Science & Technology, Osaka University.His current research mainly deals with applying biologicallyinspired 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,highspeed transport architecture,highspeed 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