Accurate prediction of available battery time for mobile applications

Dongwon Kim, Yohan Chon, Wonwoo Jung, Yungeun Kim, Hojung Cha

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Energy consumption in mobile devices is an important issue for both system developers and users. Users are aware of the battery-related information of their mobile devices and tend to take appropriate actions to increase the battery life. In this article, we propose a framework that accurately estimates the remaining battery time of applications at runtime. The framework profiles the power behavior of applications tied with activated hardware components and estimates the remaining battery budget utilizing the battery-related data provided by the device. The experiments validate that our method predicts the remaining battery time for applications with approximately 93% of accuracy.

Original languageEnglish
Article number48
JournalACM Transactions on Embedded Computing Systems
Issue number3
Publication statusPublished - 2016 May

Bibliographical note

Funding Information:
This work was supported by a grant from the National Research Foundation of Korea (NRF), funded by the Korean government, Ministry of Education, Science and Technology under Grant (No. 2014R1A2A1A11049979).

Publisher Copyright:
© 2016 ACM.

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture


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