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Proceedings Paper

Information expectation from unmanned aircraft swarms
Author(s): Michael L. Talbert; Patrick Baldwin; Guna Seetharaman
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Paper Abstract

This paper lays the groundwork for modeling the quantification of sensor coverage for Unmanned Aircraft (UA) swarms of sensors. The concept of information expectation is defined, elaborated, and illustrated. Areas of interest (AOI)s are analyzed from a swarm standpoint to determine the quantity of coverage afforded by a swarm of multiple sensor-laden UAs. This work also investigates the coverage of AOIs as determined by the mission duration, area of the region, and time-variable swarm geometry. By experimentation using simulation, we gain insight into the quantifiable influence of varying swarm sizes and configurations on area coverage. This in turn allows validation of formulae and algorithms for computing approximation of expected opportunities for relevant information collection.

Paper Details

Date Published: 2 October 2006
PDF: 12 pages
Proc. SPIE 6387, Next-Generation Communication and Sensor Networks 2006, 63870A (2 October 2006); doi: 10.1117/12.686315
Show Author Affiliations
Michael L. Talbert, Air Force Research Lab. (United States)
Patrick Baldwin, Air Force Institute of Technology (United States)
Guna Seetharaman, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6387:
Next-Generation Communication and Sensor Networks 2006
Mohammed Atiquzzaman; Sergey I. Balandin, Editor(s)

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