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dc.contributor.advisorXie, Geoffrey G.
dc.contributor.authorDikmen, Iskender
dc.date.accessioned2012-03-14T17:36:37Z
dc.date.available2012-03-14T17:36:37Z
dc.date.issued2006-03
dc.identifier.urihttp://hdl.handle.net/10945/2910
dc.description.abstractImprovements in technology have enabled the development of cost-effective, low-power, multifunctional wireless sensor nodes, which are used in various applications including surveillance and intrusion detection. We have made experiments in order to discover the detection probability of the Crossbow MSP410 mote sensor nodes. We have developed a new PIR detection model, which has a high probability detection region and a low probability detection region, for MSP410 mote sensor nodes based on the observed probabilities. The PIR model is used in the proposed sensor placement strategy for MSP410 mote sensor nodes intended for a border monitoring scenario. The detection probability of the low probability region of the new PIR detection model is increased by overlapping with the low probability region of the neighboring sensor nodes in the proposed sensor placement strategy.en_US
dc.description.urihttp://archive.org/details/bordermonitoring109452910
dc.format.extentxiv, 51 p. : ill. (col.) ;en_US
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. Copyright protection is not available for this work in the United States.en_US
dc.subject.lcshDetectorsen_US
dc.subject.lcshDesign and constructionen_US
dc.subject.lcshCommand and control systemsen_US
dc.subject.lcshUnited Statesen_US
dc.subject.lcshComputer securityen_US
dc.subject.lcshComputersen_US
dc.subject.lcshAccess controlen_US
dc.titleBorder monitoring based on a novel PIR detection modelen_US
dc.typeThesisen_US
dc.contributor.secondreaderBordetsky, Alex
dc.contributor.corporateNaval Postgraduate School (U.S.).
dc.contributor.departmentComputer Science (CS)
dc.contributor.departmentInformation Sciences (IS)
dc.identifier.oclc67125763
etd.thesisdegree.nameM.S.en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Science and M.S. in Information Technology Managementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.verifiednoen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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