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.374 智能系统学报 第4卷 ample,an attractor selection-based routing mechanism References outperformed other conventional routing mechanisms in unreliable and unstable wireless network scenarios. [1]BONABEAU E,DORIGO M,THERAULAZ G.Swarm in- telligence:from natural to artificial systems[M].Oxford 4 Conclusion Oxford University Press,1999:251-257. Information networks that have been designed, [2]DORIGO M,STUTZLE T.Ant colony optimization [M]. Cambridge:The MIT Press,2004:152-164. built,and operated based on self-organizing biological [3]Di CARO G,DORIGO M.AntNet:distributed stigmergetic models achieve a high level of scalability,adaptability, control for communications networks[J].Journal of Artifi- and robustness.Some biological mechanisms intro- cial Intelligence Research,1998,9:317-365. duced in this paper are modeled by nonlinear temporal [4]STROGATZ S.Sync:the emerging science of spontaneous differential equations.The formalism available through order[M].New York Hyperion press,2003:54-61. these equations permits a mathematical and theoretical [5]MIROLLO R E,STROGATZ S H.Synchronization of pulse- treatment and analysis of the stability and convergence coupled biological oscillators[J].SIAM J Applied Mathe- properties of bio-inspired networks.Furthermore,we matic8,1990,26(6):1645-1662. should design and build network control mechanisms by [6]WAKAMIYA N,MURATA M.Synchronization-based data extending models from mathematical biology,exploiting gathering scheme for sensor networks[J].IEICE Trans on Commun,2005,E88-B(3):873-881. well established theories from physics and mathemat- [7]BONABEAU E,SOBKOWSKI A,THERAULAZ G,DE- ics,not merely mimicking or imitating the behavior of NEUBOURG J L.Adaptive task allocation inspired by a actual biological systems. model of division of labor in social insects[C]//Proceed- However,we should also note that the self-organi- ings of BCEC97.Skovde,Sweden,1997:36-45. zation mechanisms mentioned in this paper are,on [8]SASABE M,WAKAMIYA N,MURATA M,MIYAHARA their own,not fully sufficient to establish scalable,a- H.Effective methods for scalable and continuous media daptive,and robust information networks,which pro- streaming on peer-to-peer networks[J].European Transac- vide users and applications with network services ap- tions on Telecommunications,2004,15:549-558. propriate for levels of demand and environmental condi- [9]DASGUPTA D.Artificial immune systems and their applica- tions[M].[S.1.]:Springer,1998:36-40. tions.We also need to develop,for example,self-con- [10]HOFMEYR S A,FORREST S.Architecture for an artifi- figuration mechanisms which recognize current system cial immune system[J].Evolutionary Computation,2000, conditions and cause the network to reconfigure itself. 8(4):443473. Furthermore,it is necessary to consider how interaction [11]TURING A M.The chemical basis of morphogenesis[J]. among different self-organizing entities may detrimen- Philosophical Transaction of the Royal Society,1952, tally affect each other and bring instability.Currently, B237:37-72, we are further investigating such mechanisms,as dis- [12]DURVY M,THIRAN P.Reaction-diffusion based trans- cussed in this paper,within the scope of the research mission patters for ad hoc networks[C]//Proceedings of IEEE INF0C0M.[S.1.],2005,3:2195-2205 projects "Special Coordination Funds for Promoting [13]WAKAMIYA N,HYODO K,MURATA M.Reaction-dif- Science and Technology:Yuragi Project"and "Global fusion based topology self-organization for periodic data COE (centers of excellence)Program for Founding gathering in wireless sensor networks[C]//Proceedings of Ambient Information Society Infrastructure"of the Min- Second IEEE International Conference on Self-Adaptive istry of Education,Culture,Sports,Science and Tech- and Self-Organizing Systems (SASO 2008).Venice,Ita- nology,Japan. 1y,2008:351-360
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