NDLI: Workload prediction of wireless sensor network based on linear prediction

Content Provider	IEEE Xplore Digital Library
Author	Lue Ik Hong Wong Kiing Ing Barsoum, N.N.
Copyright Year	2012
Description	Author affiliation: Dept of Electrical and Computer Engineering, Curtin University, Sarawak, Malaysia (Lue Ik Hong; Wong Kiing Ing; Barsoum, N.N.)
Abstract	Wireless sensor network has been widely used in remote monitoring applications. However, energy efficiency of sensor nodes becomes an important issue as there are powered by batteries. This is because most of the sensor nodes are inaccessible once they have been deployed in the physical environment. Therefore, a good energy saving scheme of sensor nodes is essential in order to provide a long operational life for at least up to 2 years. Dynamic Voltage Scaling (DVS) scheme can be used to dynamically scaling the voltage level based on CPU's workload in order to save energy. In this paper, a linear prediction model is proposed to adjust the voltage level relating to its workload.
Starting Page	160
Ending Page	164
File Size	340135
Page Count	5
File Format	PDF
ISBN	9781467314206
e-ISBN	9781467314213
DOI	10.1109/CYBER.2012.6392546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-27
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear Prediction Wireless sensor networks Workload Prediction Wireless Sensor Network Operating systems Prediction algorithms Real-time systems Dynamic voltage scaling Mathematical model Voltage control Dynamic Voltage Scaling
Content Type	Text
Resource Type	Article

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