TY - GEN
T1 - Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing
AU - Kwok, Tyrone Tai On
AU - Kwok, Yu Kwong
PY - 2006
Y1 - 2006
N2 - 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 computationintensive 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 reconfigurable computing using FPGAs.
AB - 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 computationintensive 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 reconfigurable computing using FPGAs.
UR - https://www.scopus.com/pages/publications/34547243997
U2 - 10.1109/ICPPW.2006.30
DO - 10.1109/ICPPW.2006.30
M3 - Conference contribution
AN - SCOPUS:34547243997
SN - 0769526373
SN - 9780769526379
T3 - Proceedings of the International Conference on Parallel Processing Workshops
SP - 43
EP - 50
BT - Proceedings of the 2006 International Conference on Parallel Processing Workshops, ICPP 2006
T2 - 2006 International Conference on Parallel Processing Workshops, ICPP 2006
Y2 - 14 August 2006 through 18 August 2006
ER -