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dc.contributor.advisorCraparo, Emily M.
dc.contributor.authorSözen, Volkan
dc.dateJune 2014
dc.date.accessioned2014-08-13T20:18:00Z
dc.date.available2014-08-13T20:18:00Z
dc.date.issued2014-06
dc.identifier.urihttp://hdl.handle.net/10945/42729
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractBorder 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.en_US
dc.description.urihttp://archive.org/details/optimaldeploymen1094542729
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleOptimal deployment of unmanned aerial vehicles for border surveillanceen_US
dc.typeThesisen_US
dc.contributor.secondreaderLucas, Thomas W.
dc.contributor.departmentOperations Research
dc.subject.authorBorder patrolen_US
dc.subject.authorbarrier searchen_US
dc.subject.authorUAVen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceFirst Lieutenant, Turkish Armyen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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