Optimal image transmission over visual sensor networks

Sungjin Lee, Sanghoon Lee, Alan C. Bovik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we propose a methodology for optimal image transmission over a VSNs (Visual Sensor Networks) via cross-layer optimization. Toward this goal, we control the compression ratio of a captured image and network parameters such as source rate, flow rate and routing path. In particular, since this scheme is based on distributed optimization, we can avoid energy concentration in a specific node such as CH (Cluster Head) which increases the network lifetime. In the simulation, we demonstrate the network adaptation procedure over a randomly deployed VSNs and evaluate the quality of the transmitted image using the SSIM (Structural Similarity) index.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages161-164
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 2011 Sep 112011 Sep 14

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2011 18th IEEE International Conference on Image Processing, ICIP 2011
CountryBelgium
CityBrussels
Period11/9/1111/9/14

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Lee, S., Lee, S., & Bovik, A. C. (2011). Optimal image transmission over visual sensor networks. In ICIP 2011: 2011 18th IEEE International Conference on Image Processing (pp. 161-164). [6115761] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2011.6115761