Title :
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
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;
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
DOI :
10.1109/CYBER.2012.6392546
