Ant agents with distributed knowledge applied to adaptive control of a nonstationary traffic in ad-hoc networks

  • Authors:
  • Michal Kudelski;Andrzej Pacut

  • Affiliations:
  • Institute of Control and Computation Engineering, Warsaw Univ. of Technology, Warsaw, Poland and NASK, Warsaw, Poland;Institute of Control and Computation Engineering, Warsaw Univ. of Technology, Warsaw, Poland and NASK, Warsaw, Poland

  • Venue:
  • ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
  • Year:
  • 2010

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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.