The use of agent-based simulation for cooperative sensing of the battlefield

dc.contributor.advisorSanchez, Susan M.
dc.contributor.authorLiang, Lawrence A. H.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research (OR)
dc.contributor.secondreaderNetzer, David W.
dc.date.accessioned2012-03-14T17:32:55Z
dc.date.available2012-03-14T17:32:55Z
dc.date.issued2005-12
dc.description.abstractMany military Intelligence Surveillance and Reconnaissance (ISR) operations would benefit greatly from a fleet of disparate sensor-bearing UAVs that are tightly integrated via a communications network, work cooperatively for a common operational objective, enhance situation awareness of the areas of operation, and increase persistence of sensor dwell time on strategic targets. This would enable continuity in the entire target acquisition cycle, from detection to classification to identification and finally localization of targets, in a diverse and dynamic environment. The integration of sensors and development of tactics in a cooperative sensing environment is one of the current focuses among the military intelligence community, and hence motivates this thesis effort. By building models with an existing agent-based simulation platform and using an extremely efficient experimental design methodology, numerous factors which could potentially affect the effectiveness of a cooperative sensing network against two arrays of targets are explored. The factors considered include UAV airspeed, reliability, detection/classification coverage and probability, network latency and degradation, UAV configurations and responsiveness, as well as air space separation. The two arrays of targets are mobile armor concentrations and time critical targetsen_US
dc.description.abstractthese vary in their deployment profiles, vulnerability constraints and ease of detectability. Factors characterizing these targets, such as the shoot-and-scoot behavior of time critical targets, are also investigated. The study provides operational insights pertaining to the design and effective use of cooperative sensing for ISR purposes. These include the importance of having good UAV sensor capabilities, the need for a suite of sensors to aid in locating well-camouflaged time-critical targets, and the need for "intelligent" application of UAV cooperation tactics based on the characteristics of recently-classified targets.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.urihttp://archive.org/details/theuseofgentbase109451740
dc.format.extentxx, 99 p. : col. ill., col. maps ;en_US
dc.identifier.oclc63120322
dc.identifier.urihttps://hdl.handle.net/10945/1740
dc.publisherMonterey, CA; 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. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshBattlefieldsen_US
dc.subject.lcshTacticsen_US
dc.subject.lcshOperations researchen_US
dc.titleThe use of agent-based simulation for cooperative sensing of the battlefielden_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S.en_US
etd.verifiednoen_US
relation.isDepartmentOfPublication58745961-c46a-45ad-ae9c-d139d1ba1041
relation.isDepartmentOfPublication.latestForDiscovery58745961-c46a-45ad-ae9c-d139d1ba1041
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