Optimal image transmission for visual sensor network

Sungjin Lee, Sanghoon Lee

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

Abstract

Due to the large volume and inherit computational complexity of captured images in VSN (Visual Sensor Network), the renewable energy system based on solar energy is of particular interest for EH (Energy Harvesting)-VSN. In addition, since additional energy consumption after capturing an image is continuously made for the subsequent events of image processing, mote operation, data transmission and reception, the capturing rate for image sampling significantly effects on the lifetime of node. Towards this end, we explore a novel energy-efficient framework for EH-VSN by developing an algorithm named CAPTURE (Capturing rAte and Pervasive neTwork control algorithm for mUlti cameRa nEtwork) where the QoS (Quality of Service) is maximized by obtaining the optimal values of capturing rate and allocated energy based on the FoV (Field of View)-based networking in the presence of event and power acquisition patterns.

Original languageEnglish
Title of host publication54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011
DOIs
Publication statusPublished - 2011 Oct 13
Event54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011 - Seoul, Korea, Republic of
Duration: 2011 Aug 72011 Aug 10

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Other

Other54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011
CountryKorea, Republic of
CitySeoul
Period11/8/711/8/10

Fingerprint

Image communication systems
Sensor networks
Energy harvesting
Image sampling
Data communication systems
Solar energy
Computational complexity
Quality of service
Image processing
Energy utilization
Cameras

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Lee, S., & Lee, S. (2011). Optimal image transmission for visual sensor network. In 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011 [6026473] (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2011.6026473
Lee, Sungjin ; Lee, Sanghoon. / Optimal image transmission for visual sensor network. 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011. 2011. (Midwest Symposium on Circuits and Systems).
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title = "Optimal image transmission for visual sensor network",
abstract = "Due to the large volume and inherit computational complexity of captured images in VSN (Visual Sensor Network), the renewable energy system based on solar energy is of particular interest for EH (Energy Harvesting)-VSN. In addition, since additional energy consumption after capturing an image is continuously made for the subsequent events of image processing, mote operation, data transmission and reception, the capturing rate for image sampling significantly effects on the lifetime of node. Towards this end, we explore a novel energy-efficient framework for EH-VSN by developing an algorithm named CAPTURE (Capturing rAte and Pervasive neTwork control algorithm for mUlti cameRa nEtwork) where the QoS (Quality of Service) is maximized by obtaining the optimal values of capturing rate and allocated energy based on the FoV (Field of View)-based networking in the presence of event and power acquisition patterns.",
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Lee, S & Lee, S 2011, Optimal image transmission for visual sensor network. in 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011., 6026473, Midwest Symposium on Circuits and Systems, 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011, Seoul, Korea, Republic of, 11/8/7. https://doi.org/10.1109/MWSCAS.2011.6026473

Optimal image transmission for visual sensor network. / Lee, Sungjin; Lee, Sanghoon.

54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011. 2011. 6026473 (Midwest Symposium on Circuits and Systems).

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

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Lee S, Lee S. Optimal image transmission for visual sensor network. In 54th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2011. 2011. 6026473. (Midwest Symposium on Circuits and Systems). https://doi.org/10.1109/MWSCAS.2011.6026473