In this paper we propose a resilient scheme for multi-path routing using a biologically-inspired attractor selection method. The main advantage of this approach is that it is highly noise-tolerant and capable of operating in a very robust manner under changing environment conditions. We will apply an enhanced attractor selection model to multi-path routing in overlay networks and discuss some general properties of this approach based on numerical simulations. Furthermore, our proposal considers randomization in the path selection which reduces the selfishness and improves the overall network-wide performance. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Leibnitz, K., Wakamiya, N., & Murata, M. (2006). Resilient multi-path routing based on a biological attractor selection scheme. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3853 LNCS, pp. 48–63). https://doi.org/10.1007/11613022_7
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