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A development of power consumption measurement system for Android smartphones

Authors:

Ung-Mo KimAuthors Info & Claims

IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication

Article No.: 95, Pages 1 - 4

https://doi.org/10.1145/3022227.3022321

Published: 05 January 2017 Publication History

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Abstract

Smartphones are going to be more popular over the next five years and smartphone subscriptions will reach 6.1 billion in 2020. Moreover, mobile context-aware technologies and applications will be evolving more rapidly. However, smartphone users are always power-hungry. In order to solve such a problem, many researches for power measurement systems have been existed. But existing research have many limitations. In this paper, we propose to combine (i) the battery consumption information of users and (ii) log analyses, and develop a new power consumption measurement system, called the Log Analysis Consumption Report (LACR), which extends the open source of PowerTutor. The goal of our system is to measure the power consumed by WiFi, which is not supported by PowerTutor. The experiments performed on Galaxy S6 show that our system is much suitable for GalaxyS6 than existing methods.

References

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Lide, z., Birjodh, T., Zhiyun, Q., Zhaoguang, W., Robert, P, D., Zhuoqing, M, M., and Lei, Y, Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for Smartphones. in 8th IEEE/ACM International Conference on Jardware/Software-Co-Design and System Synthesis,(New York, USA, 2010), ACM, 105--114.

Digital Library

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Mobile Device Power Monitor Manual, 1.15, Retrieved September 10,2016: https://www.msoon.com/

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Luke, H. Using Monsoon Power Monitor with iPhone 5s, 2015, Retrieved September 20, 2016: https://bottleofcode.com/2015/07/12/using-monsoon-power-monitor-with-iphone-5s/

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Jaymin, L., Hyunwoo Joe., and Hyungshin Kim, Smart Phone Power Model Generation using Use Pattern Analysis, in 2012 IEEE International Conference on Consumer Electronics, (Las Vegas, USA, 2012), IEEE, 412--413.

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Cited By

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Crestani ATetu RDouin JParadinas P(2021)Energy Cost of IoT Design Patterns2021 8th International Conference on Future Internet of Things and Cloud (FiCloud)10.1109/FiCloud49777.2021.00062(383-387)Online publication date: Aug-2021
https://doi.org/10.1109/FiCloud49777.2021.00062
Almahmoud MAlzu’bi DYaseen Q(2021)ReDroidDet: Android Malware Detection Based on Recurrent Neural NetworkProcedia Computer Science10.1016/j.procs.2021.03.105184(841-846)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.03.105
Ali HKhan HPecht M(2020)Evaluation of Li-Based Battery Current, Voltage, and Temperature Profiles for In-Service Mobile PhonesIEEE Access10.1109/ACCESS.2020.29887288(73665-73676)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2988728
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Index Terms

A development of power consumption measurement system for Android smartphones
1. Human-centered computing
  1. Ubiquitous and mobile computing

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Published In

IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication

January 2017

746 pages

ISBN:9781450348881

DOI:10.1145/3022227

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 January 2017

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Short-paper

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IMCOM '17

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SIGAPP

IMCOM '17: The 11th International Conference on Ubiquitous Information Management and Communication

January 5 - 7, 2017

Beppu, Japan

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IMCOM '17 Paper Acceptance Rate 113 of 366 submissions, 31%;

Overall Acceptance Rate 213 of 621 submissions, 34%

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Cited By

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Crestani ATetu RDouin JParadinas P(2021)Energy Cost of IoT Design Patterns2021 8th International Conference on Future Internet of Things and Cloud (FiCloud)10.1109/FiCloud49777.2021.00062(383-387)Online publication date: Aug-2021
https://doi.org/10.1109/FiCloud49777.2021.00062
Almahmoud MAlzu’bi DYaseen Q(2021)ReDroidDet: Android Malware Detection Based on Recurrent Neural NetworkProcedia Computer Science10.1016/j.procs.2021.03.105184(841-846)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.03.105
Ali HKhan HPecht M(2020)Evaluation of Li-Based Battery Current, Voltage, and Temperature Profiles for In-Service Mobile PhonesIEEE Access10.1109/ACCESS.2020.29887288(73665-73676)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2988728
Sun YChen JTang YChen Y(2018)Energy Modeling of IoT Mobile Terminals on WiFi Environmental Impacts †Sensors10.3390/s1806172818:6(1728)Online publication date: 28-May-2018
https://doi.org/10.3390/s18061728
Divan MReynoso M(2018)Fostering the Interoperability of the Measurement and Evaluation Project Definitions in PAbMM2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO.2018.8748766(231-238)Online publication date: Aug-2018
https://doi.org/10.1109/ICRITO.2018.8748766
Jain NFan XLeon-Salas WLucietto A(2018)Extending battery life of smartphones by overcoming idle power consumption using ambient light energy harvesting2018 IEEE International Conference on Industrial Technology (ICIT)10.1109/ICIT.2018.8352311(978-983)Online publication date: Feb-2018
https://doi.org/10.1109/ICIT.2018.8352311
Yu L(2016)From Android Bug Reports to Android Bug Handling ProcessInternational Journal of Open Source Software and Processes10.4018/IJOSSP.20161001017:4(1-18)Online publication date: Oct-2016
https://doi.org/10.4018/IJOSSP.2016100101

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