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Restoration Performance vs. Overhead in a Swarm Intelligence Path Management System

  • Poul E. Heegaard
  • Otto J. Wittner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4150)

Abstract

CE-ants is a distributed, robust and adaptive swarm intelligence strategy for dealing with path management in communication networks. This paper focuses on various strategies for adjusting the overhead generated by the CE-ants as the state of the network changes. The overhead is in terms of number of management packets (ants) generated, and the adjustments are done by controlling the ant generation rate that controls the number ants traversing the network. The link state events considered are failure and restoration events. A simulation scenario compares restoration performance of rate adaptation in the source node with rate adaptation in the intermediate nodes close to the link state events. Implicit detection of failure events through monitoring ant parameters are considered. Results indicate that an implicit adjustment in the source node is a promising approach with respect to restoration time and the number of ants required.

Keywords

Source Node Mobile Agent Swarm Intelligence Convergence Time Lower Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Poul E. Heegaard
    • 1
  • Otto J. Wittner
    • 2
  1. 1.Telenor R&D and Department of TelematicsNorwegian University of Science and TechnologyNorway
  2. 2.Centre for Quantifiable Quality of Service in Communication SystemsNorwegian University of Science and TechnologyTrondheimNorway

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