Intelligent System of Limited Resource Allocation for Large-Scale Agent Systems
Jakub Węcławski , Stanisław Jankowski
AbstractThis paper describes an intelligent decision support system for semi-autonomous agents. The solution is developed for a large-scale network of double-interface mobile routers. The network is a part of advanced metering infrastructure deployed in the north of Poland. Limited capacity of cellular networks makes the system stability and performance dependent on smart management of radio resource utilization. A model of system phenomena was based on observations of a real system consisting of more than 10,000 devices. A network simulator was developed as a tool for solution testing outside of the real system. Computational Intelligence methods were found suitable for a large system scale. The paper introduces an iterative method based on cellular neural network model for determining the optimal resource allocation for the system.
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