Energy efficiency of image transmission in embedded linux based Wireless Visual Sensor Network

Nyoman Putra Sastra, Wirawan, Gamantyo Hendrantoro

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Wireless Visual Sensor Network (WVSN) is a system that consists of visual sensor nodes with an embedded processor. WVSN devices have limited resources of energy, computation capability, memory, and bandwidth. Due to these limitations theimplementation of WVSN for large multimedia data, such as images, become a challenging task. Therefore, it is requiredcompressed images prior to transmission. In addition to the limited resources, the system implementation strongly affects theefficiency of the working system. The main contribution of this research is to offer a technicalsolution of simpler image compression on the WVSN platform. JPEG 2000 is investigated as an alternative compression methodto reduce the size of data transfer on WVSN using Embedded Linux as its operating system. Compressed images are transferredto a receiver on communication of IEEE 802.15.4.. This paper shows that the energy consumption for compression andtransmission will reduce to only 10.48%, 13.60%, and 17.11% compared to raw image. BER will significantly reduce byimplementing image compression. Therefore, it is demonstrated that this model significantly increases energy efficiency, memoryutilization efficiency, and data transfer time with acceptable PSNR, compared to uncompressed images.

Original languageEnglish
Pages (from-to)146-154
Number of pages9
JournalJournal of Communications Software and Systems
Issue number3
Publication statusPublished - 2 Nov 2015


  • Distributed Computation
  • Energy Efficiency
  • Image Compression
  • Image Transmission
  • Wireless Sensor Network


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