Summary

International Symposium on Nonlinear Theory and its Applications

2009

Session Number:A1L-B

Session:

Number:A1L-B4

Attractor Composition-based Self-Adaptation in Layered Sensor-Overlay Networks

Naoki Wakamiya,  Masayuki Murata,  

pp.-

Publication Date:2009/10/18

Online ISSN:2188-5079

DOI:10.34385/proc.43.A1L-B4

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Summary:
A new generation network needs to accommodate enormous numbers of nodes with high diversity and a wide variety of traffic and applications. To achieve higher scalability, adaptability, and robustness than ever before, we consider a new network architecture where all entities behave in a self-organizing manner based on biologically-inspired nonlinear mathematical models. In this paper, we show an example of layered self-adaptation of overlay/sensor networks adopting the attractor composition model. Simulation results demonstrate potential benefits of our approach.