Analyzing power consumption and characterizing user activities on smartwatches: Summary

Emirhan Poyraz, Gokhan Memik

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

13 Scopus citations

Abstract

In this paper, we study real end-user data by releasing a logger application that monitors users while they are using their watches. We collect traces of real smartwatch user activities from 32 users (4 brands, 7 different models) and a total of 70 days of continuous use. We use traces to characterize usage and power consumption while identifying operational bottlenecks. Specifically, we develop a regression-based power model using system-level hardware components and analyze high-level characteristics: general usage behavior, interaction with the battery, total and component-wise power consumption, network activity, and power consumption of frequently run applications. Our models provide insights about the power breakdown among the hardware components. We present 9 major findings and observations including: (1) battery management is important: majority of users charge their devices every 15 hours; (2) screen and CPU consume more than half of the active power: on average, they use 38.5% and 32.6% of the active power, respectively; and (3) application characteristics affect power consumption: downloaded applications (from third party developers) consume up to 4 times more power than builtin applications.

Original languageEnglish (US)
Title of host publicationProceedings of the 2016 IEEE International Symposium on Workload Characterization, IISWC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219-220
Number of pages2
ISBN (Electronic)9781509038954
DOIs
StatePublished - Oct 3 2016
Event2016 IEEE International Symposium on Workload Characterization, IISWC 2016 - Providence, United States
Duration: Sep 25 2016Sep 27 2016

Other

Other2016 IEEE International Symposium on Workload Characterization, IISWC 2016
Country/TerritoryUnited States
CityProvidence
Period9/25/169/27/16

Keywords

  • Component-wise power consumption
  • Network characteristic
  • Smartwatch
  • System analysis
  • System level power modeling
  • Usage behavior

ASJC Scopus subject areas

  • Hardware and Architecture

Fingerprint

Dive into the research topics of 'Analyzing power consumption and characterizing user activities on smartwatches: Summary'. Together they form a unique fingerprint.

Cite this