Resilient Multi-path Routing Based on a Biological Attractor Selection Scheme Export

@incollection{citeulike:4254753, abstract = {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.}, author = {Leibnitz, Kenji and Wakamiya, Naoki and Murata, Masayuki}, citeulike-article-id = {4254753}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/11613022_7}, citeulike-linkout-1 = {http://www.springerlink.com/content/f622mu7n1q6qg030}, doi = {10.1007/11613022_7}, journal = {Biologically Inspired Approaches to Advanced Information Technology}, keywords = {algorithms, ant}, pages = {48--63}, posted-at = {2009-04-02 01:22:26}, priority = {0}, title = {Resilient Multi-path Routing Based on a Biological Attractor Selection Scheme}, url = {http://dx.doi.org/10.1007/11613022_7}, year = {2006} }

TY - CHAP ID - citeulike:4254753 L3 - citeulike-article-id:4254753 N2 - 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. JF - Biologically Inspired Approaches to Advanced Information Technology EP - 63 TI - Resilient Multi-path Routing Based on a Biological Attractor Selection Scheme SP - 48 KW - algorithms KW - ant AU - Leibnitz, Kenji AU - Wakamiya, Naoki AU - Murata, Masayuki PY - 2006/// UR - http://dx.doi.org/10.1007/11613022_7 ER -