Applying DDDAS principles to command, control and mission planning for UAV swarms

Gregory R. Madey, M. Brian Blake, Christian Poellabauer, Hongsheng Lu, R. Ryan McCune, Yi Wei

Research output: Contribution to journalConference articlepeer-review

36 Scopus citations

Abstract

Government agencies predict ever-increasing inventories of Unmanned Aerial Vehicles (UAVs). Sizes will vary from current manned aircraft scales to miniature, micro, millimeter scales or smaller. Missions for UAVs will increase, especially for the 3-D missions: dull, dirty, and dangerous. As their numbers and missions increase, three important challenges will emerge for these large swarms of sensor and surveillance UAVs: (1) the need for near real-time dynamic command & control of the swarms, (2) efficient mission planning and dynamic real-time re-tasking of the swarms, and 3) the need for improved automation of swarm mission planning and command & control. We describe an investigation with the primary objectives to design, develop, and evaluate: (i) a proof-of-concept simulation test-bed that investigates the benefits of using DDDAS (Dynamic Data Driven Applications Systems) for UAV swarm control, and (ii) engineering guidelines that will enable the use of DDDAS principles in such actual systems.

Original languageEnglish (US)
Pages (from-to)1177-1186
Number of pages10
JournalProcedia Computer Science
Volume9
DOIs
StatePublished - 2012
Event12th Annual International Conference on Computational Science, ICCS 2012 - Omaha, NB, United States
Duration: Jun 4 2012Jun 6 2012

Keywords

  • Agent-based simulation
  • DDDAS
  • MultiUAV2
  • SOA Workflows
  • Sensor-based processing
  • UAV swarms

ASJC Scopus subject areas

  • Computer Science(all)

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