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ENERGY HARVESTING MICROGENERATORS FOR BODY SENSOR NETWORKS

dc.contributor.advisorBaras, John Sen_US
dc.contributor.authorDadfarnia, Mehdien_US
dc.date.accessioned2015-02-05T06:44:48Z
dc.date.available2015-02-05T06:44:48Z
dc.date.issued2014en_US
dc.identifierhttps://doi.org/10.13016/M26W40
dc.identifier.urihttp://hdl.handle.net/1903/16128
dc.description.abstractBody sensor networks have the potential to become an asset for personalizing healthcare delivery to patients in need. A key limitation for a successful implementation of body sensor networks comes from the lack of a continuous, reliable power source for the body-mounted sensors. The aim of this thesis is to model and optimize a micro-energy harvesting generator that prolongs the operational lifetime of body sensors and make them more appealing, especially for personalized healthcare purposes. It explores a model that is suitable for harvesting mechanical power generated from human body motions. Adaptive optimization algorithms are used to maximize the amount of power harvested from this model. Practicality considerations discuss the feasibility of optimization and overall effectiveness of implementing the energy harvester model with respect to body sensor power requirements and its operational lifetime.en_US
dc.language.isoenen_US
dc.titleENERGY HARVESTING MICROGENERATORS FOR BODY SENSOR NETWORKSen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentSystems Engineeringen_US
dc.subject.pqcontrolledAlternative energyen_US
dc.subject.pqcontrolledSystem scienceen_US
dc.subject.pqcontrolledEngineeringen_US
dc.subject.pquncontrolledenergy harvestingen_US
dc.subject.pquncontrolledmicrogeneratoren_US
dc.subject.pquncontrolledoptimizationen_US
dc.subject.pquncontrolledsensorsen_US


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