DocumentCode :
2624872
Title :
Intelligent power saving technique for mobile devices
Author :
Mora, Jaime ; Leu, Jenq-Shiou
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2012
fDate :
15-17 Oct. 2012
Firstpage :
504
Lastpage :
508
Abstract :
Power saving in mobile devices has become a hot topic nowadays. Enhancing user experience through intelligent techniques that help to extend battery lifetime is today´s goal for many manufacturers and developers. Different approaches to improve power consumption have focused on improving the hardware used, the operating system, and/or the applications performance; however, this study´s focusisto design an intelligent software framework. After a throughout evaluation of the power consumption in different modules of the phone, in order to identify which modules consume power the most,a reinforcement learning method is proposed to effectively deal with this issue by granting/denying accessto the user of executing battery-draining tasks.
Keywords :
learning (artificial intelligence); mobile handsets; power consumption; telecommunication computing; telecommunication power supplies; battery lifetime; battery-draining tasks; intelligent power saving technique; intelligent software framework; mobile devices; operating system; power consumption; reinforcement learning method; Batteries; IEEE 802.11 Standards; Learning; Power demand; Power measurement; Smart phones; Android; Markov Decision Process; Smartphones; power saving techniques; reinforcement learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (APCC), 2012 18th Asia-Pacific Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4673-4726-6
Electronic_ISBN :
978-1-4673-4727-3
Type :
conf
DOI :
10.1109/APCC.2012.6388189
Filename :
6388189
Link To Document :
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