Internet Connection Control based on Idle Time Using User Behavior Pattern Analysis
The increase of smartphone ability is rapidly increasing the power consumption. Many methods have been proposed to reduce smartphone power consumption. Most of these methods use the internet connection control based on the availability of the battery power level regardless of when and where a waste of energy occurs. This paper proposes a new approach to control the internet connection based on idle time using user behavior pattern analysis. User behavior patterns are used to predict idle time duration. Internet connection control performed during idle time. During idle time internet connection periodically switched on and off by a certain time interval. This method effectively reduces a waste of energy. Control of the internet connection does not interfere the user because it is implemented on idle time.
Keywords: Smartphone, User Behavior, Pattern Recognition, Idle Time, Internet Connection Control
Zhang. L, B. Tiwana, R. P. Dick, Z. Qian, Z. M. Mao, Z. Wang, and L. Yang. 2010. Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones. Hardware/Software Codesign and System Synthesis: 105â€“114.
Zahid, I. M. A. Ali, and R. Nassr. 2011. Android Smartphone: Battery Saving Service. Research and Innovation in Information Systems: 1â€“4.
Khairy, A., H. H. Ammar, and R. Bahgat. 2013. Smartphone Energizer: Extending Smartphone's Battery Life with Smart Offloading. International Wireless Communications and Mobile Computing Conference: 329â€“336.
Kim, M. W., D. G. Yun, J. M. Lee, and S. G. Choi. 2012. Battery Life Time Extension Method Using Selective Data Reception on Smartphone. International Conference of Information Networking: 468â€“471.
Hyeon, Y., M. W. Kim, J. M. Lee, and S. G. Choi. 2012. Battery Life Time Extension Method by Using Signalling Interval Control. International Conference Advanced Communication Technology: 327â€“330.
Kang, J. M., S. S. Seo, and J. W.â€K. Hong. 2011. Usage Pattern Analisys of Smartphones. Network Operations and Management Symposium: 1â€“8.
Noulas, A., S. Scellato., C. Mascolo., M. Pontil. 2011. An Empirical Study of Geographic User Activity Patterns in Foursquare. Association for the Advancement of Artificial Intelligence: 570â€573.
Farrahi, K., Daniel, G. 2008. Daily Routine Classification from Mobile Phone. Machine Learning for Multimodal Interaction: 173â€“184.
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