Update rate tradeoffs for improving online power modeling in smartphones

Author

Maker, Frank ; Amirtharajah, Rajeevan ; Akella, Venkatesh

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA

fYear

2013

fDate

4-6 Sept. 2013

Firstpage

114

Lastpage

119

Abstract

Smartphones offer sophisticated features (e.g., Wi-Fi, GPS, etc.) that require significant energy and limit battery life. Offline smartphone power modeling with benchtop equipment is cumbersome for software developers and takes substantial time to perform on multiple devices. By running on the device itself, online modeling can be performed dynamically and is scalable to many different smartphones. Previous online modeling work used existing battery management unit (BMU) current sensors with a high internal sample rate (18.6 kHz), but very low (software-readable) output register update rates (0.28 Hz). We propose allowing the register update rate to be dynamically adjusted to decrease online modeling time and energy cost. In this work we consider the benefits and evaluate the trade-offs of this approach.

Keywords

battery management systems; smart phones; telecommunication power management; BMU; GPS; Wi-Fi; battery management unit; current sensors; energy cost; frequency 0.28 kHz; frequency 18.6 kHz; offline smartphone power modeling; online modeling; online modeling time; online power modeling; output register update rates; smartphones; software developers; software-readable; update rate tradeoffs; Batteries; Benchmark testing; Current measurement; Frequency measurement; Global Positioning System; Power measurement; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Low Power Electronics and Design (ISLPED), 2013 IEEE International Symposium on

Conference_Location

Beijing

Print_ISBN

978-1-4799-1234-6

Type

conf

DOI

10.1109/ISLPED.2013.6629276

Filename

6629276