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

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2003
Accession Number
ADA418490

Entities

People

  • Benjamin Shargel
  • Bruce T. Clough
  • Eric Bonabeau
  • Paolo Gaudiano

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Area Coverage
  • Autonomous Navigation
  • Command And Control
  • Damage
  • Department Of Defense
  • Global Communications
  • Military Personnel
  • Military Research
  • Moving Targets
  • Simulations
  • Simulators
  • Swarm Intelligence
  • Targets
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science
  • Engineering

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control