Resilient multi-path routing based on a biological attractor selection scheme

  • Authors:
  • Kenji Leibnitz;Naoki Wakamiya;Masayuki Murata

  • Affiliations:
  • Graduate School of Information Science and Technology, Osaka University, Osaka, Japan;Graduate School of Information Science and Technology, Osaka University, Osaka, Japan;Graduate School of Information Science and Technology, Osaka University, Osaka, Japan

  • Venue:
  • BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
  • Year:
  • 2006

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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.