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https://olympias.lib.uoi.gr/jspui/handle/123456789/11058Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bentley, E. S. | en |
| dc.contributor.author | Kondi, L. P. | en |
| dc.contributor.author | Matyjas, J. D. | en |
| dc.contributor.author | Medley, M. J. | en |
| dc.contributor.author | Suter, B. W. | en |
| dc.date.accessioned | 2015-11-24T17:02:28Z | - |
| dc.date.available | 2015-11-24T17:02:28Z | - |
| dc.identifier.issn | 1520-9210 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/11058 | - |
| dc.rights | Default Licence | - |
| dc.subject | code division multiple access (cdma) | en |
| dc.subject | convolutional codes | en |
| dc.subject | cross-layer | en |
| dc.subject | h.264 | en |
| dc.subject | joint source-channel coding | en |
| dc.subject | multimedia communications | en |
| dc.subject | power control | en |
| dc.subject | resource allocation | en |
| dc.subject | spread spectrum | en |
| dc.subject | visual sensor network | en |
| dc.subject | power-control | en |
| dc.subject | scalable video | en |
| dc.subject | interference | en |
| dc.title | Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | Doi 10.1109/Tmm.2010.2086441 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
| heal.publicationDate | 2011 | - |
| heal.abstract | In 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.journalName | Ieee Transactions on Multimedia | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Konti-2011-Spread Spectrum Visual Sensor Network.pdf | 637.87 kB | Adobe PDF | View/Open Request a copy |
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