Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/363261
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dc.coverage.spatial1-207
dc.date.accessioned2022-02-17T05:41:43Z-
dc.date.available2022-02-17T05:41:43Z-
dc.identifier.urihttp://hdl.handle.net/10603/363261-
dc.description.abstractIEEE 802.15.4 is designed for low-data-rate, low power, low complexity, short-range wireless transmissions in a wireless personal area network (WPAN). Small batteries power WBAN nodes. To increase the network lifetime, it is crucial to reduce the power consumption of the WBAN nodes. In the existing work for improving energy efficiency and throughput of 802.15.4 protocol, authors have not focused on the interaction of the various parameters to determine linear models for energy consumption and throughput for WBANs. The existing schemes do not determine the optimum set of operating conditions for minimum energy consumption and maximum throughput. The optimal values of parameters of 802.15.4 for a specific response variable under a specific scenario have not been suggested. Models of energy consumption and throughputs, in terms of control parameters, are useful in improving the energy efficiency and throughput of 802.15.4 WBANs. A variety of parameters can affect the energy consumption and throughput. In the beacon enabled mode of 802.15.4 protocol some of these parameters are superframe order (SO), beacon order (BO), packet rate (pktr), packet size (pkts), number of nodes (nn), guaranteed time slots (GTSs), and path loss (PL). newlineWe conducted a comprehensive set of experiments, using OMNeT++ and Castalia simulators, and commercial hardware, to determine the relations between energy consumption, throughput, and the above parameters. These relations are determined using statistical techniques such as ANOVA and RSM. The parameters that are not significant for a model were discarded using statistical methods. We initially create linear models and then higher order models. We determined the linear first-order and second-order models for energy consumption and throughput using full factorial design, fractional factorial design and response surface methodology (RSM), using software and hardware.
dc.format.extent1-207
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleModels for Energy Efficiency and Throughput of 802 15 4 WBANs
dc.title.alternative
dc.creator.researcherBhosale Varsha Kiran
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideRaisinghani Vijay T.
dc.publisher.placeMumbai
dc.publisher.universityNarsee Monjee Institute of Management Studies
dc.publisher.institutionDepartment of Electronic Engineering
dc.date.registered2013
dc.date.completed2018
dc.date.awarded2018
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronic Engineering



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