Workload prediction of wireless sensor network based on linear prediction

Author

Hong, Lue Ik ; Ing, Wong Kiing ; Barsoum, Nader Nassif

Author_Institution

Dept. of Electr. & Comput. Eng., Curtin Univ., Miri, Malaysia

fYear

2012

fDate

27-31 May 2012

Firstpage

160

Lastpage

164

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.

Keywords

telecommunication network reliability; wireless sensor networks; CPU workload; DVS scheme; dynamic voltage scaling scheme; energy saving scheme; linear prediction model; operational life; remote monitoring application; sensor node energy efficiency; voltage level dynamic scaling; wireless sensor network; workload prediction; Dynamic voltage scaling; Mathematical model; Operating systems; Prediction algorithms; Real-time systems; Voltage control; Wireless sensor networks; Dynamic Voltage Scaling; Linear Prediction; Wireless Sensor Network; Workload Prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4673-1420-6

Type

conf

DOI

10.1109/CYBER.2012.6392546

Filename

6392546