Title:
Energy-efficient reading of correlated wireless sensors

dc.contributor.advisor Weitnauer, Mary Ann
dc.contributor.author Akanser, Alper
dc.contributor.committeeMember Durgin, Gregory
dc.contributor.committeeMember Koblasz, Arthur
dc.contributor.committeeMember Wang, Hua
dc.contributor.committeeMember Guensler, Randall
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2016-08-22T12:21:55Z
dc.date.available 2016-08-22T12:21:55Z
dc.date.created 2016-08
dc.date.issued 2016-05-10
dc.date.submitted August 2016
dc.date.updated 2016-08-22T12:21:55Z
dc.description.abstract The objective of this research is to design and analyze data fusion schemes for energy efficient reading of correlated wireless sensors using cooperative communications. A spatially correlated sensor network is read by a collector or fusion center using the semi-cooperative spectrum fusion (SCSF) scheme, where a cluster of sensors simultaneously transmit to the fusion center in response to a beacon transmission by the fusion center. In this research, the SCSF scheme is considered for parameter estimation and binary integration problems. The main contributions of the research are the theoretical analysis of estimation and detection performance, and energy consumption.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/55573
dc.publisher Georgia Institute of Technology
dc.subject cooperative communications
dc.subject data fusion
dc.title Energy-efficient reading of correlated wireless sensors
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Weitnauer, Mary Ann
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 40e56013-1a4b-4b7c-9c07-fc7cccf63c5e
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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