• DocumentCode
    3394417
  • Title

    UAS sensor autonomy achieved via market-based optimization methods

  • Author

    Parker, Brandon S.

  • Author_Institution
    ComCept Div., L-3 Commun., Rockwall, TX, USA
  • fYear
    2010
  • fDate
    3-7 Oct. 2010
  • Abstract
    As ISR sensors proliferate in theater, the autonomous and dynamic control of those sensors, especially those on board unmanned aircraft systems, will become a necessity as personnel and resource constraints drive the shift in operator control from manual tasking and prioritization to system supervision. This paper explores the experimentation, analysis, and viability of a decentralized, auction-less market-based algorithm to fulfill such a need.
  • Keywords
    aerospace industry; air traffic control; optimisation; remotely operated vehicles; ISR sensors; autonomous control; dynamic control; market based optimization; unmanned aircraft systems; Algorithm design and analysis; Heuristic algorithms; Humans; Intelligent sensors; Markov processes; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    2155-7195
  • Print_ISBN
    978-1-4244-6616-0
  • Type

    conf

  • DOI
    10.1109/DASC.2010.5655307
  • Filename
    5655307