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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Published in | 2006 International Conference on Parallel Processing Workshops (ICPPW'06) pp. 8 pp. - 50 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2006
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Subjects | |
Online Access | Get full text |
ISBN | 9780769526379 0769526373 |
ISSN | 0190-3918 |
DOI | 10.1109/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 |
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ISBN: | 9780769526379 0769526373 |
ISSN: | 0190-3918 |
DOI: | 10.1109/ICPPW.2006.30 |