DocumentCode :
625776
Title :
Power monitor v2: Novel power saving Android application
Author :
Datta, Soumya Kanti ; Bonnet, C. ; Nikaein, Navid
Author_Institution :
Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
fYear :
2013
fDate :
3-6 June 2013
Firstpage :
253
Lastpage :
254
Abstract :
This paper presents a novel scheme to derive power saving profiles based on the usage patterns of the Android devices. The entire architecture is developed as an Android app "Power Monitor v2" and is deployed to the smart devices. A monitoring module of the app periodically collects several data from the devices and stores them locally. A learning engine then operates on the raw data to generate multiple usage patterns over time and space, which characterizes the user contexts. The engine then processes the patterns to generate power saving profiles dynamically within the devices. The profiles contain several system settings of the smart devices and intelligently optimize power consumption. We also present a real life usage pattern and the power saving profile. The overall battery life for the device estimated to increase by 82%.
Keywords :
battery management systems; learning (artificial intelligence); operating systems (computers); power aware computing; smart phones; Android device usage patterns; Power Monitor v2; battery life; intelligent power consumption optimization; learning engine; monitoring module; power saving android application; power saving profiles; smart devices; Androids; Batteries; Engines; Humanoid robots; Monitoring; Power demand; Smart phones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on
Conference_Location :
Hsinchu
ISSN :
0747-668X
Print_ISBN :
978-1-4673-6198-9
Type :
conf
DOI :
10.1109/ISCE.2013.6570213
Filename :
6570213
Link To Document :
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