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dc.contributor.authorHong, Lue Ik
dc.contributor.authorWong, Kiing-Ing
dc.contributor.authorBarsoum, Nader Nassif
dc.contributor.editorSteve Tung
dc.date.accessioned2017-01-30T12:44:30Z
dc.date.available2017-01-30T12:44:30Z
dc.date.created2013-03-06T20:00:37Z
dc.date.issued2012
dc.identifier.citationHong, 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.urihttp://hdl.handle.net/20.500.11937/24690
dc.identifier.doi10.1109/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.publisherIEEE xplorer
dc.subjectVoltage Scaling
dc.subjectWireless Sensor Network
dc.subjectWorkload Prediction
dc.subjectLinear Prediction
dc.titleWorkload prediction of wireless sensor network based on linear prediction
dc.typeConference Paper
dcterms.source.startPage160
dcterms.source.endPage164
dcterms.source.titleIEEE
dcterms.source.seriesIEEE
dcterms.source.conferenceProceedings of the 2012 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
dcterms.source.conference-start-dateMay 27 2012
dcterms.source.conferencelocationBangkok, Thailand
dcterms.source.placeUSA
curtin.department
curtin.accessStatusFulltext not available


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