Adaptive hierarchical swarming in persistent surveillance applications

David Serena

doi:10.1117/12.606164

19 May 2005 Adaptive hierarchical swarming in persistent surveillance applications

David Serena

Proceedings Volume 5805, Enabling Technologies for Simulation Science IX; (2005) https://doi.org/10.1117/12.606164
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

David Serena "Adaptive hierarchical swarming in persistent surveillance applications", Proc. SPIE 5805, Enabling Technologies for Simulation Science IX, (19 May 2005); https://doi.org/10.1117/12.606164

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