By Topic

Understanding the interaction between performance and power consumption in mobile systems to accurately predict battery life

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
J. M. Warren ; Carnegie Mellon Univ., Pittsburgh, PA, USA ; D. P. Siewiorek ; T. L. Martin

When designing and using a wearable system, it is important to find the appropriate trade-off between system performance and battery life. Methods currently used for evaluating battery life over a range of CPU clock frequencies are often inaccurate because they fail to account for the fact that overall system performance usually does not scale proportionally to CPU clock frequency. We present a modified method that works in all cases, and characterize the battery life of the test system over a range of frequencies.

Published in:

Wearable Computers, The Fourth International Symposium on

Date of Conference:

16-17 Oct. 2000