Context-aware battery management for mobile phones

Nishkam Ravi, James Scott, Lu Han, Liviu Iftode

Research output: Chapter in Book/Report/Conference proceedingConference contribution

112 Scopus citations

Abstract

In this paper, we propose a system for context-aware battery management that warns the user when it detects that the phone battery can run out before the next charging opportunity is encountered. At the heart of this system, are algorithms that predict: (1) when the next charging opportunity will be available, (2) how much call-time will be required by the user in the interim, and (3) how long the battery will last if the current set of applications continue to execute. We propose algorithms that process user's location traces and call-logs for making some of these predictions. We also propose a technique to predict battery consumption of applications. We present the design of the system and demonstrate its feasibility by experimentally showing that each of the prediction algorithms can perform with fairly high accuracy.

Original languageEnglish (US)
Title of host publication6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
Pages224-233
Number of pages10
DOIs
StatePublished - 2008
Event6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008 - Hong Kong, Hong Kong
Duration: Mar 17 2008Mar 21 2008

Publication series

Name6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008

Other

Other6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
CountryHong Kong
CityHong Kong
Period3/17/083/21/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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