Swarm Intelligence: A New C2 Paradigm with an Application to Control Swarms of UAVs
Paolo Gaudiano, Benjamin Shargel, Eric W. Bonabeau, Bruce T. Clough · 2003
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.