Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

User-Centric Prediction for Battery Lifetime of Mobile Devices

Joon-Myung KangContact Information, Chang-Keun ParkContact Information, Sin-Seok SeoContact Information, Mi-Jung ChoiContact Information and James Won-Ki HongContact Information

(4)  Dept. of Computer Science and Engineering, POSTECH, Republic of Korea
Abstract
Today, mobile devices are being used for various applications such as making voice/video calls, browsing Internet and so on. The operating time and battery consumption spent in those activities affect the battery life of mobile devices. In this paper, we propose a method for predicting the battery lifetime of mobile devices based on usage patterns. We define the possible states of mobile devices based on their operating functions and develop a method of predicting battery lifetime based on average battery consumption and duration of each state.

Keywords  Battery Lifetime Prediction - Usage Pattern - Power Management


Contact Information Joon-Myung Kang
Email: eliot@postech.ac.kr

Contact Information Chang-Keun Park
Email: pck1982@postech.ac.kr

Contact Information Sin-Seok Seo
Email: sesise@postech.ac.kr

Contact Information Mi-Jung Choi
Email: mjchoi@postech.ac.kr

Contact Information James Won-Ki Hong
Email: jwkhong@postech.ac.kr
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this chapter
Export this chapter as RIS | Text
 
Remote Address: 38.107.191.112 • Server: mpweb04
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)