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
PDF download (147.8KB)
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.