Optimal deployment of unmanned aerial vehicles for border surveillance
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Authors
Sözen, Volkan
Subjects
Border patrol
barrier search
UAV
barrier search
UAV
Advisors
Craparo, Emily M.
Date of Issue
2014-06
Date
Jun-14
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
Border surveillance is an important concern for most nations wanting to detect and intercept intruders that are trying to trespass a border. These intruders can include terrorists, drug traffickers, smugglers, illegal immigrants, and others who represent a threat to national interests. Unmanned aerial vehicles (UAVs) allow for modernization and improvement of border surveillance. There are a number of advantages to using UAVs. Many UAVs can be controlled by a single operator, which reduces personnel costs; they are very fast and can patrol large regions; and they have wider regions of visibility than conventional surveillance methods, which increases the probability of detecting intruders. This thesis formulates mathematical models designed to find the best way to utilize a given fleet of UAVs by deciding their routes, altitudes, and speeds in order to maximize the probability of detecting intruders trying to trespass a given border. These models will enable decision makers to effectively acquire and employ a UAV fleet for border surveillance.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
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Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.