A self organizing social insect model for dynamic frequency allocation in cellular telephone networks

  • Authors:

  • Michael Lawlor;Tony White

  • Affiliations:

  • Carleton University, Canada;Carleton University, Canada

  • Venue:
  • AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2003

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Abstract

This paper describes a mobile agent solution to the problem of frequency allocation encountered in cellular telephone networks. The mobile agents used follow a social insect behavioral model for division of labor and task allocation similar to that exhibited by swarms of ants, wasps and other social insects. Through this behavioral model, the "swarm" of agents self-organizes and displays an adaptive, swarm level intelligence that is transparent to each individual agent. Putting these agents to work in a simulated cellular telephone network, a simpler, distributed solution to frequency allocation was achieved.