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dc.contributor.authorTay, Wee Peng
dc.contributor.authorTsitsiklis, John N.
dc.date.accessioned2012-10-03T13:59:05Z
dc.date.available2012-10-03T13:59:05Z
dc.date.issued2011-04
dc.date.submitted2011-02
dc.identifier.isbn978-1-4244-9867-3
dc.identifier.isbn978-1-4244-9868-0
dc.identifier.urihttp://hdl.handle.net/1721.1/73559
dc.description.abstractWe consider the decentralized binary hypothesis testing problem in networks with feedback, where some or all of the sensors have access to compressed summaries of other sensors' observations. We study certain two-message feedback architectures, in which every sensor sends two messages to a fusion center, with the second message based on full or partial knowledge of the first messages of the other sensors. Under either a Neyman-Pearson or a Bayesian formulation, we show that the asymptotically optimal (in the limit of a large number of sensors) detection performance (as quantified by error exponents) does not benefit from the feedback messages.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISWPC.2011.5751320en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleThe value of feedback for decentralized detection in large sensor networksen_US
dc.typeArticleen_US
dc.identifier.citationTay, Wee Peng, and John N. Tsitsiklis. “The Value of Feedback for Decentralized Detection in Large Sensor Networks.” 6th International Symposium on Wireless and Pervasive Computing (ISWPC), 2011. 1–6.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systemsen_US
dc.contributor.mitauthorTsitsiklis, John N.
dc.relation.journalProceedings of the 6th International Symposium on Wireless and Pervasive Computing (ISWPC), 2011en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsTay, Wee Peng; Tsitsiklis, John N.en
dc.identifier.orcidhttps://orcid.org/0000-0003-2658-8239
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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