Date of Award
3-2005
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Operational Sciences
First Advisor
Sharif H. Melouk, PhD
Abstract
Given the drawbacks of leaving time-sensitive targeting (TST) strictly to humans, there is value to the investigation of alternative approaches to TST operations that employ autonomous systems. This paper accomplishes five things. First, it proposes a short-hop abbreviated routing paradigm (SHARP) - based on Delaunay triangulations (DT), ad-hoc communication, and autonomous control - for recognizing and engaging TSTs that, in theory, will improve upon persistence, the volume of influence, autonomy, range, and situational awareness. Second, it analyzes the minimum timeframe need by a strike (weapons enabled) aircraft to navigate to the location of a TST under SHARP. Third, it shows the distribution of the transmission radius required to communicate between an arbitrary sender and receiver. Fourth, it analyzes the extent to which connectivity, among nodes with constant communication range, decreases as the number of nodes decreases. Fifth, it shows the how SHARP reduces the amount of energy required to communicate between two nodes. Mathematica 5.0.1.0 is used to generate data for all metrics. JMP 5.0.1.2 is used to analyze the statistical nature of Mathematica's output.
AFIT Designator
AFIT-GOR-ENS-05-03
DTIC Accession Number
ADA435205
Recommended Citation
Chow, David, "Analysis of Online-Delaunay Navigation for Time Sensitive Targeting" (2005). Theses and Dissertations. 3771.
https://scholar.afit.edu/etd/3771
Included in
Navigation, Guidance, Control and Dynamics Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons