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dc.contributor.advisorOtero, Carlos E.
dc.contributor.authorJaffar, Amar Yusof
dc.date.accessioned2019-04-04T13:17:31Z
dc.date.available2019-04-04T13:17:31Z
dc.date.created2018-12
dc.date.issued2018-11
dc.date.submittedDecember 2018
dc.identifier.urihttp://hdl.handle.net/11141/2762
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2018en_US
dc.description.abstractResearchers are actively investigating wireless sensor networks (WSNs) with respect to node design, architecture, networking protocols, and processing algorithms. However, few researchers consider the impact of deployments on the performance of a system. As a result, an appropriate deployment simulator that estimates the performance of WSNs concerning several deployment variables is needed. This research presents a holistic deployment framework that assists decision makers in making optimum WSN deployment choices by considering the terrain of their region of interest and type of deployment. This framework employs empirical propagation models to predict the performance of the deployment in terms of connectivity, coverage, lifetime, and throughput for stochastic and deterministic deployments in dense tree, tall grass, and short grass environments. For each type of environment, this study investigates the effects of node orientation on the performance metrics. The outlined framework can serve as a useful prototype for creating deployment simulators that optimize WSN deployments by considering terrain factors and type of deployment. Furthermore, mathematical prediction models that optimize the decision-making process are presented. Rather than executing the simulation, the mathematical prediction models are used to predict the performance of the system which provides real time results.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleHolistic Approach for Characterizing the Performance of Wireless Sensor Networksen_US
dc.typeDissertationen_US
dc.date.updated2019-02-01T19:43:04Z
thesis.degree.nameDoctor of Philosophy in Computer Engineeringen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineComputer Engineeringen_US
thesis.degree.departmentComputer Engineering and Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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