Strategies for multi-asset surveillance

This paper describes our "sandbox" for the study of multi-asset surveillance, and explores the performance of rule-based control strategies on this task. In order to maximize the probability of detection of targets of interest, it is assumed that the team of unmanned air vehicles (UAVs) must provide maximum sensory coverage of the terrain. We demonstrate, however, both through simulation and mathematical analysis, that this is not always the case.