Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design

dc.contributor.authorBentley, E. S.en
dc.contributor.authorKondi, L. P.en
dc.contributor.authorMatyjas, J. D.en
dc.contributor.authorMedley, M. J.en
dc.contributor.authorSuter, B. W.en
dc.date.accessioned2015-11-24T17:02:28Z
dc.date.available2015-11-24T17:02:28Z
dc.identifier.issn1520-9210-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11058
dc.rightsDefault Licence-
dc.subjectcode division multiple access (cdma)en
dc.subjectconvolutional codesen
dc.subjectcross-layeren
dc.subjecth.264en
dc.subjectjoint source-channel codingen
dc.subjectmultimedia communicationsen
dc.subjectpower controlen
dc.subjectresource allocationen
dc.subjectspread spectrumen
dc.subjectvisual sensor networken
dc.subjectpower-controlen
dc.subjectscalable videoen
dc.subjectinterferenceen
dc.titleSpread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Designen
heal.abstractIn this paper, we propose an approach to manage network resources for a direct sequence code division multiple access (DS-CDMA) visual sensor network where nodes monitor scenes with varying levels of motion. It uses cross-layer optimization across the physical layer, the link layer, and the application layer. Our technique simultaneously assigns a source coding rate, a channel coding rate, and a power level to all nodes in the network based on one of two criteria that maximize the quality of video of the entire network as a whole, subject to a constraint on the total chip rate. One criterion results in the minimal average end-to-end distortion amongst all nodes, while the other criterion minimizes the maximum distortion of the network. Our experimental results demonstrate the effectiveness of the cross-layer optimization.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDoi 10.1109/Tmm.2010.2086441-
heal.journalNameIeee Transactions on Multimediaen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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