Dynamic Predictive Simulations of Agent Swarms (DDDAS)

Abstract

DDDAS Accomplishments: Multiple separate but related projects investigated the DDDAS paradigm applied to UAV swarms. Each project provided methods and examples of how the DDDAS concept could be used for the command and control of swarms of UAVs. As the numbers of UAVs in the military inventory increase operator shortage & overload is becoming a problem; groups or swarms of semi-autonomous UAVs will need to be controlled by the operators, requiring new modes of command & control. Operators will need to "fly the swarm" rather than a "UAV" as is largely done today. A DDDAS test-bed was developed utilizing web-services middleware to communicate between a "real-world" UAV swarms and agent-based simulations. Six Parrot AR.Drones 2.0 quadrocopters were demo'ed as a "real world" UAV swarm communicating over the test-bed to a ground-based command & control application. Experiments were run testing the effects of intra-swarm communication protocols on target discovery.

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Document Details

Document Type
Technical Report
Publication Date
Apr 09, 2014
Accession Number
ADA601979

Entities

People

  • Gregory Madey

Organizations

  • University of Notre Dame

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Agent-Based Simulations
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Command And Control
  • Computational Science
  • Computer Science
  • Computer Simulations
  • Computers
  • Engineering
  • Mobile Ad Hoc Networks
  • Simulations
  • Swarm Intelligence
  • Test Beds
  • Unmanned Aerial Vehicles
  • Web Service

Fields of Study

  • Computer science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Computer Networking

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control