Agent-based simulation for UAV swarm mission planning and execution

Yi Wei, Gregory R. Madey, M. Brian Blake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Swarms of Unmanned Aerial Vehicles (UAV) have been foreseen by multiple organizations to serve an important role in future air-based warfare and civilian operations. UAVs are less expensive than their piloted counterparts, provide greater flexibilities and remove the need for on-board pilot support. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. An agent-based control framework is proposed, which employs a control agent for task assignment and multiple UAV agents for local task scheduling. A prototype simulation framework is implemented as a proof-of-concept. Experimentation with the framework suggests the effectiveness of swarm control using several mission planning mechanisms.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 Spring Simulation Multiconference, SpringSim 2013 - Agent-Directed Simulation Symposium, ADS 2013
Pages7-14
Number of pages8
Edition1
StatePublished - May 3 2013
EventAgent-Directed Simulation Symposium, ADS 2013, Part of the 2013 Spring Simulation Multiconference, SpringSim 2013 - San Diego, CA, United States
Duration: Apr 7 2013Apr 10 2013

Publication series

NameSimulation Series
Number1
Volume45
ISSN (Print)0735-9276

Other

OtherAgent-Directed Simulation Symposium, ADS 2013, Part of the 2013 Spring Simulation Multiconference, SpringSim 2013
CountryUnited States
CitySan Diego, CA
Period4/7/134/10/13

Keywords

  • Agent-based simulation
  • Mission planning
  • UAV swarm

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Agent-based simulation for UAV swarm mission planning and execution'. Together they form a unique fingerprint.

  • Cite this

    Wei, Y., Madey, G. R., & Blake, M. B. (2013). Agent-based simulation for UAV swarm mission planning and execution. In Proceedings of the 2013 Spring Simulation Multiconference, SpringSim 2013 - Agent-Directed Simulation Symposium, ADS 2013 (1 ed., pp. 7-14). (Simulation Series; Vol. 45, No. 1).