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dc.contributor.authorAktas, Metin
dc.contributor.authorKuscu, Murat
dc.contributor.authorDinc, Ergin
dc.contributor.authorAkan, Ozgur B
dc.date.accessioned2018-12-18T00:30:24Z
dc.date.available2018-12-18T00:30:24Z
dc.date.issued2018
dc.identifier.issn1932-6203
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287018
dc.description.abstractSpatial correlation between densely deployed sensor nodes in a wireless sensor network (WSN) can be exploited to reduce the power consumption through a proper source coding mechanism such as distributed source coding (DSC). In this paper, we propose the Decoding Delay-based Distributed Source Coding (D-DSC) to improve the energy efficiency of the classical DSC by employing the decoding delay concept which enables the use of the maximum correlated portion of sensor samples during the event estimation. In D-DSC, network is partitioned into clusters, where the clusterheads communicate their uncompressed samples carrying the side information, and the cluster members send their compressed samples. Sink performs joint decoding of the compressed and uncompressed samples and then reconstructs the event signal using the decoded sensor readings. Based on the observed degree of the correlation among sensor samples, the sink dynamically updates and broadcasts the varying compression rates back to the sensor nodes. Simulation results for the performance evaluation reveal that D-DSC can achieve reliable and energy-efficient event communication and estimation for practical signal detection/estimation applications having massive number of sensors towards the realization of Internet of Sensing Things (IoST).
dc.format.mediumElectronic-eCollection
dc.languageeng
dc.publisherPublic Library of Science (PLoS)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectModels, Theoretical
dc.subjectInternet
dc.subjectProgramming Languages
dc.subjectWireless Technology
dc.subjectElectronic Data Processing
dc.titleD-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things.
dc.typeArticle
prism.issueIdentifier3
prism.publicationDate2018
prism.publicationNamePLoS One
prism.startingPagee0193154
prism.volume13
dc.identifier.doi10.17863/CAM.34328
dcterms.dateAccepted2018-02-04
rioxxterms.versionofrecord10.1371/journal.pone.0193154
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-01
dc.contributor.orcidKuscu, Murat [0000-0002-8463-6027]
dc.contributor.orcidDinc, Ergin [0000-0001-6982-206X]
dc.contributor.orcidAkan, Ozgur [0000-0003-2523-3858]
dc.identifier.eissn1932-6203
rioxxterms.typeJournal Article/Review
cam.issuedOnline2018-03-14


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International