File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/ICPPW.2006.30
- Scopus: eid_2-s2.0-34547243997
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing
Title | Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing |
---|---|
Authors | |
Issue Date | 2006 |
Citation | Proceedings Of The International Conference On Parallel Processing Workshops, 2006, p. 43-50 How to Cite? |
Abstract | 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. © 2006 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/98986 |
ISSN | 2020 SCImago Journal Rankings: 0.211 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwok, TTO | en_HK |
dc.contributor.author | Kwok, YK | en_HK |
dc.date.accessioned | 2010-09-25T18:10:58Z | - |
dc.date.available | 2010-09-25T18:10:58Z | - |
dc.date.issued | 2006 | en_HK |
dc.identifier.citation | Proceedings Of The International Conference On Parallel Processing Workshops, 2006, p. 43-50 | en_HK |
dc.identifier.issn | 1530-2016 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/98986 | - |
dc.description.abstract | 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. © 2006 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.relation.ispartof | Proceedings of the International Conference on Parallel Processing Workshops | en_HK |
dc.title | Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Kwok, YK:ykwok@eee.hku.hk | en_HK |
dc.identifier.authority | Kwok, YK=rp00128 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICPPW.2006.30 | en_HK |
dc.identifier.scopus | eid_2-s2.0-34547243997 | en_HK |
dc.identifier.hkuros | 126156 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34547243997&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 43 | en_HK |
dc.identifier.epage | 50 | en_HK |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Kwok, TTO=7006475931 | en_HK |
dc.identifier.scopusauthorid | Kwok, YK=7101857718 | en_HK |
dc.identifier.issnl | 1530-2016 | - |