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dc.contributor.advisorPace, Phillip E.
dc.contributor.advisorFisher, Edward L.
dc.contributor.authorColeman, William M.
dc.dateSep-14
dc.date.accessioned2014-12-05T20:10:07Z
dc.date.available2014-12-05T20:10:07Z
dc.date.issued2014-09
dc.identifier.urihttp://hdl.handle.net/10945/43892
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThe LPISimNet software tool provides the capability to quantify the performance of sensor network configurations by combining the information and physical domains. To combine the sensor network’s performance in a coherent context with a decision-maker, Boyd’s observe, orient, decide, act (OODA) loop is included along with its operational tempo. This thesis develops a new version of LPISimNet (LPISimNet(V)3) by correcting a code error and including a network comparison file. Additionally, this thesis evaluates the effects of different network configurations and size on the maximum operational tempo. Simulation results for a static network indicate that as the network size increases the rate at which decisions can be made declines. A prediction for further decline is presented based on the simulations. Also, dynamic network simulation results for a three-, four-, five-, and six-node network display the importance of node placement and network geometry to help offset network degradation due to range fluctuation between nodes. By surrounding the dynamic nodes of the network with static nodes, the maximum operational tempo can be bounded between an upper and lower limit, stabilizing the decision-making speed. Finally, the effect of electronic attack on the operational tempo is presented to display the robustness of a network.en_US
dc.description.urihttp://archive.org/details/assessingeffects1094543892
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.titleAssessing the effects of multi-node sensor network configurations on the operational tempoen_US
dc.typeThesisen_US
dc.contributor.departmentInformation Sciences (IS)
dc.subject.authorSensor networksen_US
dc.subject.authorOODAen_US
dc.subject.authorwireless communication systemsen_US
dc.subject.authorcharacteristic tempoen_US
dc.subject.authoroperational tempoen_US
dc.description.recognitionOutstanding Thesisen_US
dc.description.serviceCaptain, United States Marine Corpsen_US
etd.thesisdegree.nameMaster of Science in Information Warfare Systems Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Warfare Systems Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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