research-article

Energy consumption in mobile phones: a measurement study and implications for network applications

Authors:

Niranjan Balasubramanian,

Aruna Balasubramanian,

Arun VenkataramaniAuthors Info & Claims

IMC '09: Proceedings of the 9th ACM SIGCOMM conference on Internet measurement

Pages 280 - 293

https://doi.org/10.1145/1644893.1644927

Published: 04 November 2009 Publication History

Abstract

In this paper, we present a measurement study of the energy consumption characteristics of three widespread mobile networking technologies: 3G, GSM, and WiFi. We find that 3G and GSM incur a high tail energy overhead because of lingering in high power states after completing a transfer. Based on these measurements, we develop a model for the energy consumed by network activity for each technology.

Using this model, we develop TailEnder, a protocol that reduces energy consumption of common mobile applications. For applications that can tolerate a small delay such as e-mail, TailEnder schedules transfers so as to minimize the cumulative energy consumed meeting user-specified deadlines. We show that the TailEnder scheduling algorithm is within a factor 2x of the optimal and show that any online algorithm can at best be within a factor 1.62x of the optimal. For applications like web search that can benefit from prefetching, TailEnder aggressively prefetches several times more data and improves user-specified response times while consuming less energy. We evaluate the benefits of TailEnder for three different case study applications - email, news feeds, and web search - based on real user logs and show significant reduction in energy consumption in each case. Experiments conducted on the mobile phone show that TailEnder can download 60% more news feed updates and download search results for more than 50% of web queries, compared to using the default policy.

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Cited By

Vergallo RCagnazzo AMele ECasciaro S(2024)Measuring the Effectiveness of the ‘Batch Operations’ Energy Design Pattern to Mitigate the Carbon Footprint of Communication Peripherals on Mobile DevicesSensors10.3390/s2422724624:22(7246)Online publication date: 13-Nov-2024
https://doi.org/10.3390/s24227246
Rana MMamun QIslam R(2024)Balancing Security and Efficiency: A Power Consumption Analysis of a Lightweight Block CipherElectronics10.3390/electronics1321432513:21(4325)Online publication date: 4-Nov-2024
https://doi.org/10.3390/electronics13214325
Qiao NYue SZhang YRen J(2024)PoPeC: PAoI-Centric Task Offloading With Priority Over Unreliable ChannelsIEEE/ACM Transactions on Networking10.1109/TNET.2024.335019832:3(2376-2390)Online publication date: Jun-2024
https://doi.org/10.1109/TNET.2024.3350198
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Index Terms

Energy consumption in mobile phones: a measurement study and implications for network applications
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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cover image ACM Conferences

IMC '09: Proceedings of the 9th ACM SIGCOMM conference on Internet measurement

November 2009

468 pages

ISBN:9781605587714

DOI:10.1145/1644893

Program Chairs:
Anja Feldmann
Deutsche Telekom Laboratories / TU Berlin
,
Laurent Mathy
Lancaster University

Copyright © 2009 ACM.

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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SIGCOMM: ACM Special Interest Group on Data Communication

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SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2009

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IMC '09

Sponsor:

SIGCOMM

IMC '09: Internet Measurement Conference

November 4 - 6, 2009

Illinois, Chicago, USA

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Overall Acceptance Rate 277 of 1,083 submissions, 26%

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Cited By

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https://doi.org/10.3390/s24227246
Rana MMamun QIslam R(2024)Balancing Security and Efficiency: A Power Consumption Analysis of a Lightweight Block CipherElectronics10.3390/electronics1321432513:21(4325)Online publication date: 4-Nov-2024
https://doi.org/10.3390/electronics13214325
Qiao NYue SZhang YRen J(2024)PoPeC: PAoI-Centric Task Offloading With Priority Over Unreliable ChannelsIEEE/ACM Transactions on Networking10.1109/TNET.2024.335019832:3(2376-2390)Online publication date: Jun-2024
https://doi.org/10.1109/TNET.2024.3350198
Ding ZLin YXu WLv JGao YDong W(2024)Energy Optimization for Mobile Applications by Exploiting 5G Inactive StateIEEE Transactions on Mobile Computing10.1109/TMC.2024.337769623:11(10280-10295)Online publication date: Nov-2024
https://doi.org/10.1109/TMC.2024.3377696
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Chen LTang FLi XLiu JYu YYang YLiu JXu WYu HWang H(2024)MobiShare: Efficient Decentralized Data Sharing for Mobile Devices2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)10.1109/IWQoS61813.2024.10682884(1-6)Online publication date: 19-Jun-2024
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Ma XXu MLi QLi YZhou AWang SMa XXu MLi QLi YZhou AWang S(2024)Edge Computing Based Computation Offloading5G Edge Computing10.1007/978-981-97-0213-8_4(63-79)Online publication date: 3-Jan-2024
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Chen YWang NLiu YKo C(2023)Energy Efficiency of Mobile Devices Using Fuzzy Logic Control by Exponential Weight with Priority-Based Rate Control in Multi-Radio Opportunistic NetworksElectronics10.3390/electronics1213286312:13(2863)Online publication date: 28-Jun-2023
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