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Proceedings Paper

Adaptive hierarchical swarming in persistent surveillance applications
Author(s): David Serena
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Paper Abstract

Persistent surveillance applications are closely related to pursuit evasion games. Global and local maximum pursuit policies are useful techniques for directing swarms of unmanned aerial vehicles (UAVs) in pursuit of ground vehicles (GVs). While global communication is often available there are costs associated with communication: range constraints, bandwidth constraints, power consumption and requirements for silent operation. A number of greedy methods for swarming are explored in the literature. Some of these methods explore potential field approaches for pheromone placement and pursuit. In this paper both potential field and discrete pheromone strategies are analyzed for the pursuit evasion problems. In addition, hierarchical techniques for directing UAVs by communications from XUAVs (UAVs with more extensive sensors) are investigated.

Paper Details

Date Published: 19 May 2005
PDF: 10 pages
Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); doi: 10.1117/12.606164
Show Author Affiliations
David Serena, Naval Air Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 5805:
Enabling Technologies for Simulation Science IX
Dawn A. Trevisani; Alex F. Sisti, Editor(s)

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