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    Workload prediction of wireless sensor network based on linear prediction

    Access Status
    Fulltext not available
    Authors
    Hong, Lue Ik
    Wong, Kiing-Ing
    Barsoum, Nader Nassif
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    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.
    Source Title
    IEEE
    Source Conference
    Proceedings of the 2012 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems
    DOI
    10.1109/CYBER.2012.6392546
    URI
    http://hdl.handle.net/20.500.11937/24690
    Collection
    • Curtin Research Publications
    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.

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