Biologically inspired self-adaptive multi-path routing in overlay networks
Communications of the ACM - Self managed systems
A stable clustering algorithm for mobile ad hoc networks based on attractor selection
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
A taxonomy of biologically inspired research in computer networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey on bio-inspired networking
Computer Networks: The International Journal of Computer and Telecommunications Networking
CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
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Self-organization is considered one of key design principles to establish highly scalable, adaptive, and robust network systems to accommodate dynamic, diverse, and massive nodes and traffic. Although there are many proposals on self-organization based protocols that are useful, effective, and practical, there has never been any in-depth investigation into interaction, interference, and synergetic effects among multiple self-organization based control. In this paper, we show an idea of analysis of mutual interaction among layered self-organization based control. We consider an overlay network that is constructed over an ad-hoc network, both of which adopt adaptive routing protocols based on the attractor selection model, i.e. a mathematical model of adaptive behavior of biological systems. We modified the degree of coupling by changing the way how layered self-organization control shared an objective parameter. Through simulation experiments, we showed that lower layer-aware routing can provide the best performance, while coupling sometimes brings worse results than independent control.