Abstract
An architecture for future networks (often referred to as new–generation networks, or the future Internet), is now actively discussed in a “clean–slate” fashion. That is, the future network architecture could be differently from the current Internet architecture to overcome its problems. We first discuss why such an approach is necessary, and how we can reach a new era of information networks. Then, we introduce our approach towards the new network architecture. It is a biologically–inspired self–organizing network. Its robustness and adaptiveness attained by the bio–inspired approach is quite useful for satisfying the requirement of the future networks.
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References
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)
Di Caro, G., Dorigo, M.: AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Research (JAIR) 9, 317–365 (1998)
Leibnitz, K., Wakamiya, N., Murata, M.: Biologically–Inspired Self–Adaptive Multi–Path Routing in Overlay Networks. CACM 49(3), 62–67 (2006)
Hasegawa, G., Murata, M.: TCP Symbiosis: Congestion Control Mechanisms of TCP based on Lotka–Volterra Competition Model. In: Proc. of Workshop on Interdisciplinary Systems Approach in Performance Evaluation and Design of Computer & Communications Systems (2006)
Koizumi, Y., Miyamura, T., Arakawa, S., Oki, E., Shiomoto, K., Murata, M.: Application of Attractor Selection to Adaptive Virtual Network Topology Control. In: Proc. of ACM 3rd International Conference on Bio–Inspired Models of Network, Information, and Computing Systems (2008)
Wakamiya, N., Hyodo, K., Murata, M.: Reaction–diffusion based Topology Self–organization for Periodic Data Gathering in Wireless Sensor Networks. In: Proc. of Second IEEE International Conference on Self–Adaptive and Self–Organizing Systems (2008)
Sugano, M., Kiri, Y., Murata, M.: Differences in Robustness of Self–Organized Control and Centralized Control in Sensor Networks Caused by Differences in Control Dependence. In: Proc. of the Third International Conference on Systems and Networks Communications, ICSNC 2008 (2008)
Kashiwagi, A., Urabe, I., Kaneko, K., Yomo, T.: Adaptive Response of a Gene Network to Environmental Changes by Fitness–induced Attractor Selection. Plos ONE 1(1), e49 (2006)
Leibnitz, K., Wakamiya, N., Murata, M.: A Bio-Inspired Robust Routing Protocol for Mobile Ad Hoc Networks. In: Proc. of 16th International Conference on Computer Communications and Networks (ICCCN 2007), pp. 321–326 (2007)
De Wolf, T., Holvoet, T.: Emergence Versus Self-Organisation: Different Concepts but Promising When Combined. In: Brueckner, S.A., Di Marzo Serugendo, G., Karageorgos, A., Nagpal, R. (eds.) ESOA 2005. LNCS (LNAI), vol. 3464, pp. 1–15. Springer, Heidelberg (2005)
Global COE Program, Center for Excellence for Founding Ambient Information Society Infrastructure, http://www.ist.osaka-u.ac.jp/GlobalCOE
Murata, M.: Towards Establishing Ambient Network Environment. IEICE Transactions on Communications E92.B(4), 1070–1076 (2009)
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Murata, M. (2010). Biologically–Inspired Network Architecture for Future Networks. In: Peper, F., Umeo, H., Matsui, N., Isokawa, T. (eds) Natural Computing. Proceedings in Information and Communications Technology, vol 2. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53868-4_4
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DOI: https://doi.org/10.1007/978-4-431-53868-4_4
Publisher Name: Springer, Tokyo
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