We have developed an agent-based model to simulate command and control of a swarm of Unmanned Air Vehicles (UAVs). Our approach makes use of decentralized strategies to control a UAV swarm carrying out a search mission. In this paper, we introduce our approach, we present the details of the proposed model, and we provide results of simulations testing our control strategies under a variety of configurations. We also outline some initial results obtained by extending our simulation tool to include the ability to carry out missions in which UAVs can track moving targets, strike targets, and perform Battle Damage Assessment.


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    Title :

    Swarm Intelligence: A New C2 Paradigm with an Application to Control Swarms of UAVs


    Contributors:
    P. Gaudiano (author) / B. Shargel (author) / E. Bonabeau (author) / B. T. Clough (author)

    Publication date :

    2003


    Size :

    14 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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