Energy-optimized image communication on resource-constrained sensor platforms

Energy-efficient image communication is one of the most important goals for a large class of current and future sensor network applications. This paper presents a quantitative comparison between the energy costs associated with 1) direct transmission of uncompressed images and 2) sensor platform-based JPEG compression followed by transmission of the compressed image data. JPEG compression computations are mapped onto various resource-constrained sensor platforms using a design environment that allows computation using the minimum integer and fractional bit-widths needed in view of other approximations inherent in the compression process and choice of image quality parameters. Detailed experimental results examining the tradeoffs in processor resources, processing/transmission time, bandwidth utilization, image quality, and overall energy consumption are presented. Categories and Subject Descriptors D.2.2 [Software Engineering]: Design Tools and Techniques—software libraries; F.2.1 ...

• Type: Conference
• Year: 2007
• Where: IPSN
• Authors: Dong-U Lee, Hyungjin Kim, Steven Tu, Mohammad H. Rahimi, Deborah Estrin, John D. Villasenor
• Keywords: Image, Image Quality, IPSN 2007, JPEG Compression, Sensor Networks