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Self-Organization Based Network Architecture for New Generation Networks
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A new generation network is requested to accommodate an enormous number of heterogeneous nodes and a wide variety of traffic and applications. To achieve higher scalability, adaptability, and robustness than ever before, in this paper we present new network architecture composed of self-organizing entities. The architecture consists of the physical network layer, service overlay network layer, and common network layer mediating them. All network entities, i.e. nodes and networks, behave in a self-organizing manner, where the global behavior emerges through their operation on local information and direct and/or indirect mutual interaction. The center of the architecture is so-called self-organization engines, which implement nonlinear self-organizing dynamics originating in biology, physics, and mathematics. In this paper, we also show some examples of self-organization engines.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.3 pp.458-461
- Publication Date
- 2010/03/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.458
- Type of Manuscript
- INVITED LETTER
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Naoki WAKAMIYA, Masayuki MURATA, "Self-Organization Based Network Architecture for New Generation Networks" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 3, pp. 458-461, March 2010, doi: 10.1587/transcom.E93.B.458.
Abstract: A new generation network is requested to accommodate an enormous number of heterogeneous nodes and a wide variety of traffic and applications. To achieve higher scalability, adaptability, and robustness than ever before, in this paper we present new network architecture composed of self-organizing entities. The architecture consists of the physical network layer, service overlay network layer, and common network layer mediating them. All network entities, i.e. nodes and networks, behave in a self-organizing manner, where the global behavior emerges through their operation on local information and direct and/or indirect mutual interaction. The center of the architecture is so-called self-organization engines, which implement nonlinear self-organizing dynamics originating in biology, physics, and mathematics. In this paper, we also show some examples of self-organization engines.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.458/_p
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@ARTICLE{e93-b_3_458,
author={Naoki WAKAMIYA, Masayuki MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Self-Organization Based Network Architecture for New Generation Networks},
year={2010},
volume={E93-B},
number={3},
pages={458-461},
abstract={A new generation network is requested to accommodate an enormous number of heterogeneous nodes and a wide variety of traffic and applications. To achieve higher scalability, adaptability, and robustness than ever before, in this paper we present new network architecture composed of self-organizing entities. The architecture consists of the physical network layer, service overlay network layer, and common network layer mediating them. All network entities, i.e. nodes and networks, behave in a self-organizing manner, where the global behavior emerges through their operation on local information and direct and/or indirect mutual interaction. The center of the architecture is so-called self-organization engines, which implement nonlinear self-organizing dynamics originating in biology, physics, and mathematics. In this paper, we also show some examples of self-organization engines.},
keywords={},
doi={10.1587/transcom.E93.B.458},
ISSN={1745-1345},
month={March},}
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TY - JOUR
TI - Self-Organization Based Network Architecture for New Generation Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 458
EP - 461
AU - Naoki WAKAMIYA
AU - Masayuki MURATA
PY - 2010
DO - 10.1587/transcom.E93.B.458
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2010
AB - A new generation network is requested to accommodate an enormous number of heterogeneous nodes and a wide variety of traffic and applications. To achieve higher scalability, adaptability, and robustness than ever before, in this paper we present new network architecture composed of self-organizing entities. The architecture consists of the physical network layer, service overlay network layer, and common network layer mediating them. All network entities, i.e. nodes and networks, behave in a self-organizing manner, where the global behavior emerges through their operation on local information and direct and/or indirect mutual interaction. The center of the architecture is so-called self-organization engines, which implement nonlinear self-organizing dynamics originating in biology, physics, and mathematics. In this paper, we also show some examples of self-organization engines.
ER -
English
