A self organizing social insect model for dynamic frequency allocation in cellular telephone networks
Michael Lawlor, Tony White · 2003
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. Categories and Subject Descriptors I.2.1 [Artificial Intelligence]: algorithms for intelligent allocation of frequencies in cellular networks.