Energy-optimized image communication on resource-constrained sensor platforms

Authors:
Dong-U Lee;Hyungjin Kim;Steven Tu;Mohammad Rahimi;Deborah Estrin;John D. Villasenor
Affiliations:
University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles;University of California, Los Angeles
Venue:
Proceedings of the 6th international conference on Information processing in sensor networks
Year:
2007

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Abstract

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.