IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i1p386982.html
   My bibliography  Save this article

Efficient Image Transmission over WVSNs Using Two-Measurement Matrix Based CS with Enhanced OMP

Author

Listed:
  • Hemalatha Rajendran
  • Radha Sankararajan
  • Jalbin Justus

Abstract

WVSN is a collective network of motes containing visual sensors. The nodes in the network are capable of acquiring, compressing, and transmitting successive images to the sink. To increase the lifetime of such network, it is essential to reduce the amount of dataflow across the network without losing the integrity. This paper proposes a CS-based image transmission system to reduce the number of measurements required to represent the image. It utilizes a two-measurement matrix-based CS. TMM with CS leads to 2.8% to 6.7% and 0.67% to 7.9% reduction in the number of measurements compared to one MM-based CS while using DCT and binary DCT, respectively. Similarly, TMM with NUS CS leads to 5% to 40% (DCT) and 1.4% to 20% (binDCT) reduction in the number of measurements than one-measurement matrix-based NUS CS. An Enhanced Orthogonal Matching Pursuit algorithm is also proposed, which produces nearly 2% to 26% better recovery rate with the same number of measurements than the conventional OMP algorithm. Reduced measurements and better recovery rate achieved will enhance the lifetime of the WVSN, with considerable image quality. Rate distortion analysis of the proposed methodology is also done.

Suggested Citation

  • Hemalatha Rajendran & Radha Sankararajan & Jalbin Justus, 2014. "Efficient Image Transmission over WVSNs Using Two-Measurement Matrix Based CS with Enhanced OMP," International Journal of Distributed Sensor Networks, , vol. 10(1), pages 386982-3869, January.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:1:p:386982
    DOI: 10.1155/2014/386982
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/386982
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/386982?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:10:y:2014:i:1:p:386982. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.