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Battery Power Saving Profile with Learning Engine in android Phones
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 69 - Number 13 |
| Year of Publication: 2013 |
| Authors: Rimpy Bala, Anu Garg |
10.5120/11906-7983
|
Rimpy Bala, Anu Garg . Battery Power Saving Profile with Learning Engine in android Phones. International Journal of Computer Applications. 69, 13 ( May 2013), 38-41. DOI=10.5120/11906-7983
Abstract
Android is an open platform which is becoming very popular operating system. Its open source code is easily handled by the users to get and use new contents and applications on their handsets. Android is based on Linux kernel. Android device are being activated per day and power management of these device is becoming an issue. The one problem is common that is Low battery life of the device. It is not a common thing in smartphones. Now days, more powerful with power consuming technologies like GPS, 3G and 3GS. In this approach we do not require the client server architecture . we will include a learning engine. This learning will monitor the user behavior in terms of apps used, battery consumption and contexts, and then we will collect the information for a period of time and the fed to a learning engine. Artificial neural can be used to implement the learning engine. This pattern based learning engine intelligently decide, how to control the smartphones features. This will build after the learning of user behavior, would not include any statically define power saving profile.
References
- Ahmad Rahmati, Angela Qian, and Lin Zhong (2008)," Understanding Human-Battery Interaction on Mobile Phones", Proceedings of the 9th international conference on Human computer interaction with mobile devices and services.
- Fangwei Ding, Feng Xia, Wei Zhang, Xuhai Zhao, Changchun Ma School of Software, Dalian University of Technology, Dalian 116620(2011) "Monitoring Energy Consumption of Smartphones ",IEEE International Conferences on Internet of Things, and Cyber, Physical and Social Computing.
- Hans Fredrik Unelsroed Computer ScienceUCSB Email: hfu@cs. ucsb. edu Per Christian Roeine Computer Science UCSB Email: roeine@cs. ucsb. edu Fahad Ghani Computer Science UCSBEmail: fahad@cs. ucsb. edu (2011)"Power Guru: Implementing Smart Power Management on the Android Platform", IEEE.
- Joon-Myung Kang, Joon-Myung Kang, James Won-Ki Hong(December 2011) "Personalized Battery Lifetime Prediction for Mobile Devices based on Usage Patterns" ,Journal of Computing Science and Engineering,Vol. 5, No. 4).
- Murmuria, R. , Medsger, J. , Stavrou, A. , Voas, J. M (2012)," Mobile Application and Device Power Usage Measurements", SERE.
- Narendran Thiagarajan, Gaurav Aggarwal, Angela Nicoara another (April 16-20, 2012)"Who Killed My Battery: Analyzing Mobile Browser Energy Consumption ", WWW 2012 – Session: Mobile Web Performance.
- Si-Hyuk Yi and Sung-Bae ChoI (2012)," Battery-aware Energy-efficient Android Phone with Bayesian Networks", 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing.
- Soumya Kanti Datta, Christian Bonnet, Navid Nikaein,(2012) "Android Power Management: Current and Future Trends", The First IEEE Workshop on Enabling Technologies for Smartphone and Internet of Things. Websites:-
- http://www. google. com/events/io/2011/index-live. html
- http://www. engineersgarage. com/articles/what-is-android-introduction?page=1
- http://android. stackexchange. com/questions/11400/what-are-the-names-of-the-various-versions-of-the-android-os-and-how-are-these
- www. ece. ncsu. edu/wireless/MadeInWALAN/AndroidTutorial
- http://sundries-article. blogspot. in/2012/11/tips-battery-saving-on-android-phone. html
- ttp://en. wikipedia. org/wiki/Advanced_Configuration_and_Power_Interface.
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