Title :
UAS sensor autonomy achieved via market-based optimization methods
Author :
Parker, Brandon S.
Author_Institution :
ComCept Div., L-3 Commun., Rockwall, TX, USA
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;
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-6616-0
DOI :
10.1109/DASC.2010.5655307