Intelligent power saving technique for mobile devices
APCC（2012）
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.
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Key words
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,reinforcement learning method,android,markov decision process,smartphones,power saving techniques,reinforcement learning,learning artificial intelligence
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