Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing

In a wireless sensor network, each node is power-constrained and may need to acquire some raw data of large size (e.g., image data), on which some computation-intensive tasks (e.g., edge detection) will be done. On the other hand, in wireless communication, significant power will be consumed on tran...

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Bibliographic Details
Published in2006 International Conference on Parallel Processing Workshops (ICPPW'06) pp. 8 pp. - 50
Main Authors Tyrone Tai-On Kwok, Yu-Kwong Kwok
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
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ISBN9780769526379
0769526373
ISSN0190-3918
DOI10.1109/ICPPW.2006.30

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Summary:In a wireless sensor network, each node is power-constrained and may need to acquire some raw data of large size (e.g., image data), on which some computation-intensive tasks (e.g., edge detection) will be done. On the other hand, in wireless communication, significant power will be consumed on transferring a sequence of data of large size. Thus, it is of high interest to carry out the sensor nodes' computation-intensive tasks efficiently while reducing the data size for wireless transfer. In this paper, we propose a new design methodology for batch processing of image data in a wireless sensor network, by employing re-configurable computing using FPGAs
ISBN:9780769526379
0769526373
ISSN:0190-3918
DOI:10.1109/ICPPW.2006.30