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Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346081
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampGonzález, Diana Cristina-
dc.contributor.authorunicampSantos Filho, José Cândido Silveira-
dc.typeArtigopt_BR
dc.titleAsymptotically optimal power allocation for WSNs with mutually correlated sensing datapt_BR
dc.contributor.authorWolf, Albrecht-
dc.contributor.authorGonzalez, Diana Cristina-
dc.contributor.authorSantos Filho, Jose Candido-
dc.contributor.authorFettweis, Gerhard-
dc.subjectRedes de sensores sem fiopt_BR
dc.subject.otherlanguageWireless sensor networkspt_BR
dc.description.abstractIt is well known that distributed source coding can improve the reliability and energy efficiency of wireless sensor networks by exploiting the correlation among sensing data. In this letter, we strengthen the benefits of such an approach by proposing a simple, general, efficient power allocation scheme for an arbitrary amount of sensors. The proposed power allocation is asymptotically optimal at high signal-to-noise ratiopt_BR
dc.relation.ispartofIEEE Communications letterspt_BR
dc.relation.ispartofabbreviationIEEE Commun. lett.pt_BR
dc.publisher.cityPiscataway, NJpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherInstitute of Electrical and Electronics Engineerspt_BR
dc.date.issued2016-
dc.date.monthofcirculationJulypt_BR
dc.language.isoengpt_BR
dc.description.volume20pt_BR
dc.description.issuenumber7pt_BR
dc.description.firstpage1317pt_BR
dc.description.lastpage1320pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1089-7798pt_BR
dc.identifier.eissn1558-2558pt_BR
dc.identifier.doi10.1109/LCOMM.2016.2561921pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7464246pt_BR
dc.date.available2020-07-24T15:50:02Z-
dc.date.accessioned2020-07-24T15:50:02Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-07-24T15:50:02Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-08T19:02:31Z : No. of bitstreams: 1 000384642500012.pdf: 529385 bytes, checksum: a3b126d6bc6b09b31258c60ec55177fa (MD5)en
dc.description.provenanceMade available in DSpace on 2020-07-24T15:50:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/346081-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Comunicaçõespt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordDistributed source codingpt_BR
dc.subject.keywordOutage probabilitypt_BR
dc.subject.keywordPower allocationpt_BR
dc.subject.keywordSlepian-Wolf theorempt_BR
dc.identifier.source000384642500012pt_BR
dc.creator.orcid0000-0003-2983-4466pt_BR
dc.creator.orcid0000-0002-0106-1548pt_BR
dc.type.formArtigopt_BR
dc.description.sponsorNoteThis work was supported by the European Union’s FP7 project ICT-619555 RESCUEpt_BR
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