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Ant Agents with Distributed Knowledge Applied to Adaptive Control of a Nonstationary Traffic in Ad-Hoc Networks

  • Michal Kudelski
  • Andrzej Pacut
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6114)

Abstract

We analyze a SWARM-based multi agent control scheme for controlling the traffic of data packets in ad-hoc networks. We consider nonstationary traffic patterns. We demonstrate how the distributed and geographically localized knowledge gathered by ant agents may improve the effectiveness of the ant learning mechanism. Our experiments indicate the improvement of adaptation capabilities of ants under dynamic topology changes and dynamic load level changes in the network.

Keywords

Mobile Robot Data Packet Load Level Sine Wave Sudden Jump 
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 2010

Authors and Affiliations

  • Michal Kudelski
    • 1
    • 2
  • Andrzej Pacut
    • 1
    • 2
  1. 1.Institute of Control and Computation EngineeringWarsaw Univ. of TechnologyWarsawPoland
  2. 2.NASKWarsawPoland

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