Image subset communication for resource-constrained applications in wireless sensor networks

Sajid Nazir, Omar A. Alzubi*, Mohammad Kaleem, Hassan Hamdoun

*Corresponding author for this work

Research output: Contribution to journalArticle

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Abstract

JPEG is the most widely used image compression standard for sensing, medical and security applications. JPEG provides a high degree of compression but field devices relying on battery power must further economize on data transmissions to prolong deployment duration with particular use cases in wireless sensor networks. Transmitting a subset of image data could potentially enhance the battery life of power constrained devices and also meet the application requirements to identify the objects within an image. Depending on an application’s needs, after the first selected subset is received at the base station, further transmissions of the image data for successive refinements can also be requested. Need for such progressive refinements exist in applications ranging from tele-medicine, security and surveillance where an initial assessment could govern further exploration of only a small region. We propose a scheme for selecting minimum information for a coarser reconstruction by transmitting only the DC coefficients as the first or base layer. This initial layer of information could on request be augmented by either transmitting more data representing an entire image or a selected region-of-interest (RoI). We compare our results with other power economization and progressive communications techniques. The proposed scheme offers significant advantages for a range of application scenarios under resource constraints.
Original languageEnglish
Pages (from-to)2686-2701
Number of pages16
JournalTurkish Journal of Electrical Engineering and Computer Sciences
Volume28
DOIs
Publication statusPublished - 25 Sep 2020

Keywords

  • wireless sensor networks
  • data transmission
  • security
  • progressive image transmission
  • resource- constrained applications
  • JPEG
  • region of interest
  • image coefficients

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