Energy-Optimized Image Communication on Resource-Constrained Sensor Platforms

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.

Distributed Algorithm for En Route Aggregation Decision in Wireless Sensor Networks

“…Our results show that the fusion processes incur tens of nanojoule per bit energy consumption, which is on the same order as the communication cost reported in the literature [3], [18]. Similar results have also been reported in [24], where an improved JPEG compressing scheme is studied.…”

Energy-Efficient Image Compression for Resource-Constrained Platforms

“…While the general result that compression/transmission is typically more energy efficient than transmission without compression is expected, we are not aware of any previous publications examining the specific quantitative aspects of the associated tradeoffs in terms of processor resources and overall energy consumption in the context of sensor platforms running platform-targeted software. Some earlier aspects of this work were presented in [6]. The present paper presents substantial new results on this topic, including detailed discussion on JPEG optimization, region of interest coding, transmission of successive images, progressive transmission, and a comprehensive set of results.…”

“…For the addition operation , the error at the output is given by (6) where and are errors associated with signals and . Similarly, for multiplication (7) It is clear that is at its maximum when and are at their maximum absolute values.…”

A Survey of Image Security in Wireless Sensor Networks

“…A well-known DCT coding algorithm is JPEG, which is largely used for image compression. One possibility is to implement JPEG computations in fixed-point arithmetic instead of floating point [87]; or even to exploit interpolation for higher efficiency [88]. In addition to the transform-based compression schemes, there are the non-transform-based schemes.…”