Workload prediction of wireless sensor network based on linear prediction
dc.contributor.author | Hong, Lue Ik | |
dc.contributor.author | Wong, Kiing-Ing | |
dc.contributor.author | Barsoum, Nader Nassif | |
dc.contributor.editor | Steve Tung | |
dc.date.accessioned | 2017-01-30T12:44:30Z | |
dc.date.available | 2017-01-30T12:44:30Z | |
dc.date.created | 2013-03-06T20:00:37Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Hong, Lue Ik and Wong, Kiing Ing and Barsoum, Nader Nassif. 2012. Workload prediction of wireless sensor network based on linear prediction, in Tung, S. (ed), Proceedings of the 2012 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems (CYBER), May 27-31 2012, pp. 160-164. Bangkok, Thailand: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/24690 | |
dc.identifier.doi | 10.1109/CYBER.2012.6392546 | |
dc.description.abstract |
Wireless Sensor Network has been widely used in remote monitoring application. However, energy efficiency of sensor nodes is an important issue, as they are powered by batteries. And most of the cases, sensor nodes are inaccessible once they have been deployed. So a good energy saving scheme of sensor nodes will provide long operational life (2-3 years). In this paper, Dynamic Voltage Scaling (DVS) is proposed to reduce the CPU energy by adjusting the voltage level based on its workload prediction. The workload prediction is based on Linear Prediction model. | |
dc.publisher | IEEE xplorer | |
dc.subject | Voltage Scaling | |
dc.subject | Wireless Sensor Network | |
dc.subject | Workload Prediction | |
dc.subject | Linear Prediction | |
dc.title | Workload prediction of wireless sensor network based on linear prediction | |
dc.type | Conference Paper | |
dcterms.source.startPage | 160 | |
dcterms.source.endPage | 164 | |
dcterms.source.title | IEEE | |
dcterms.source.series | IEEE | |
dcterms.source.conference | Proceedings of the 2012 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems | |
dcterms.source.conference-start-date | May 27 2012 | |
dcterms.source.conferencelocation | Bangkok, Thailand | |
dcterms.source.place | USA | |
curtin.department | ||
curtin.accessStatus | Fulltext not available |