research-article

Bartendr: a practical approach to energy-aware cellular data scheduling

Authors:

Aaron Schulman,

Ramachandran Ramjee,

Pralhad Deshpande,

Calvin Grunewald,

Venkata N. PadmanabhanAuthors Info & Claims

MobiCom '10: Proceedings of the sixteenth annual international conference on Mobile computing and networking

Pages 85 - 96

https://doi.org/10.1145/1859995.1860006

Published: 20 September 2010 Publication History

Abstract

Cellular radios consume more power and suffer reduced data rate when the signal is weak. According to our measurements, the communication energy per bit can be as much as 6x higher when the signal is weak than when it is strong. To realize energy savings, applications must preferentially communicate when the signal is strong, either by deferring non-urgent communication or by advancing anticipated communication to coincide with periods of strong signal. Allowing applications to perform such scheduling requires predicting signal strength, so that opportunities for energy-efficient communication can be anticipated. Furthermore, such prediction must be performed at little energy cost.

In this paper, we make several contributions towards a practical system for energy-aware cellular data scheduling called Bartendr. First, we establish, via measurements, the relationship between signal strength and power consumption. Second, we show that location alone is not sufficient to predict signal strength and motivate the use of tracks to enable effective prediction. Finally, we develop energy-aware scheduling algorithms for different workloads - syncing and streaming - and evaluate these via simulation driven by traces obtained during actual drives, demonstrating energy savings of up to 60%. Our experiments have been performed on four cellular networks across two large metropolitan areas, one in India and the other in the U.S.

References

[1]

}}G. Ananthanarayanan, M. Haridasan, I. Mohomed, D. Terry, and C. A. Thekkath. StarTrack: A framework for enabling track-based applications. In ACM MobiSys, 2009.

Digital Library

[2]

}}Power consumption and energy efficiency comparisons of WLAN products. White paper, Atheros Communications, Inc., 2003.

[3]

}}N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy consumption in mobile smartphones: A measurement study and implications for network applications. In ACM IMC, 2009.

Digital Library

[4]

}}M. Chiang, P. Hande, T. Lan, and C. W. Tan. Power control in wireless cellular networks. Foundations and Trends in Networking, 2008.

Digital Library

[5]

}}I. Constandache, R. R. Choudhury, and I. Rhee. Towards mobile phone localization without war-driving. In IEEE INFOCOM, 2010.

Digital Library

[6]

}}I. Constandache, S. Gaonkar, M. Sayler, R. R. Choudhury, and L. C. (Duke). EnLoc: Energy-efficient localization for mobile phones. In IEEE INFOCOM Mini-conference, 2009.

[7]

}}S. C. Cripps. RF Power Amplifiers for Wireless Communications. Artech House, 2006.

Digital Library

[8]

}}L. M. Feeney and M. Nilsson. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In IEEE INFOCOM, 2001.

[9]

}}F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P.-J. Nordlund. Particle filters for positioning, navigation and tracking. T-SP, Feb 2002.

Digital Library

[10]

}}J. Krumm and E. Horvitz. Predestination: Where do you want to go today? IEEE Computer Magazine, Apr 2007.

Digital Library

[11]

}}H. Kushner and P. Whiting. Convergence of proportional-fair sharing algorithms under general conditions. IEEE Transactions on Wireless Communications, July 2004.

Digital Library

[12]

}}A. LaMarca et al. Place Lab: Device positioning using radio beacons in the wild. In IEEE Pervasive Computing, May 2005.

Digital Library

[13]

}}T. Liu, P. Bahl, and I. Chlamtac. Mobility modeling, location tracking, and trajectory prediction in wireless atm networks. IEEE JSAC, Aug 1998.

Digital Library

[14]

}}X. Liu, A. Sridharan, S. Machiraju, M. Seshadri, and H. Zang. Experiences in a 3G network: interplay between the wireless channel and applications. In ACM MobiCom, 2008.

Digital Library

[15]

}}L. Mihaylova, D. Angelova, S. Honary, D. R. Bull, C. Canagarajah, and B. Ristic. Mobility tracking in cellular networks using particle filtering. IEEE Transactions on Mobile Computing, Oct 2007.

Digital Library

[16]

}}A. J. Nicholson and B. D. Noble. Breadcrumbs: Forecasting mobile connectivity. In ACM MobiCom, 2008.

Digital Library

[17]

}}G. P. Pollini. Trends in handover design. IEEE Communications Magazine, Mar 1996.

Digital Library

[18]

}}A. Rahmati and L. Zhong. Context-for-wireless: Context-sensitive energy-efficient wireless data transfer. In ACM MobiSys, 2007.

Digital Library

[19]

}}A. Sharma, V. Navda, R. Ramjee, V. Padmanabhan, and E. Belding. Cool-Tether: Energy efficient on-the-fly WiFi hot-spots using mobile phones. In ACM CoNext, 2009.

Digital Library

[20]

}}W. L. Tan, F. Lam, and W. C. Lau. An empirical study on 3G network capacity and performance. In IEEE INFOCOM, May 2007.

Digital Library

[21]

}}N. D. Tripathi, J. H. Reed, and H. F. VanLandingham. Handoff in cellular systems. IEEE Personal Communications, Dec 1998.

Cited By

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
Hoque MFinley BRao AKumar AHui PAmmar MTarkoma S(2023)Context-driven encrypted multimedia traffic classification on mobile devicesPervasive and Mobile Computing10.1016/j.pmcj.2022.10173788:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.pmcj.2022.101737
Ahmed ISizan STabassum FRahman MReza AArefin M(2023)Lowering and Analyzing the Power Consumption of SmartphonesIntelligent Computing and Optimization10.1007/978-3-031-50327-6_29(274-288)Online publication date: 16-Dec-2023
https://doi.org/10.1007/978-3-031-50327-6_29
Show More Cited By

Index Terms

Bartendr: a practical approach to energy-aware cellular data scheduling
1. Hardware
  1. Robustness
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Recommendations

Demo: PhoneLets: offloading the phone off your phone for energy, cost and network load optimization
MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking

This demo presents how phone functionality can be offloaded from a smartphone over wireless link to a PhoneLet by sharing one SIM card across multiple devices. This can lead to significant cost and network load reductions by decreasing the number of ...
A city-wide vehicular infrastructure for wide-area wireless experimentation
WiNTECH '08: Proceedings of the third ACM international workshop on Wireless network testbeds, experimental evaluation and characterization

We describe our experiences in building a city-wide infrastructure for wide-area wireless experimentation. Our infrastructure has two components -(i) a vehicular testbed consisting of wireless nodes, each equipped with both cellular (EV-DO) and WiFi ...
A Low Latency Handoff Algorithm for Voice over IP Traffics in the Next Generation Packet-Based Cellular Networks: Cellular Mobile IPv6

In the mobile communication environments, Mobile IP is defined to provide users roaming everywhere and transmit information freely. It integrates communication and network systems into Internet. The Mobile IPv6 concepts are similar to Mobile IP, and some ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

MobiCom '10: Proceedings of the sixteenth annual international conference on Mobile computing and networking

September 2010

402 pages

ISBN:9781450301817

DOI:10.1145/1859995

General Chair:
Nitin Vaidya
University of Illinois at Urbana-Champaign, USA
,
Program Chairs:
Suman Banerjee
University of Wisconsin-Madison, USA
,
Dina Katabi
Massachusetts Institute of Technology, USA

Copyright © 2010 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]

Sponsors

SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MobiCom/MobiHoc '10

Sponsor:

SIGMOBILE

MobiCom/MobiHoc '10: The 16th Annual International Conference on Mobile Computing and Networking and The 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing

September 20 - 24, 2010

Illinois, Chicago, USA

Acceptance Rates

Overall Acceptance Rate 440 of 2,972 submissions, 15%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

224
Total Citations
View Citations
1,354
Total Downloads

Downloads (Last 12 months)16
Downloads (Last 6 weeks)1

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

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
Hoque MFinley BRao AKumar AHui PAmmar MTarkoma S(2023)Context-driven encrypted multimedia traffic classification on mobile devicesPervasive and Mobile Computing10.1016/j.pmcj.2022.10173788:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.pmcj.2022.101737
Ahmed ISizan STabassum FRahman MReza AArefin M(2023)Lowering and Analyzing the Power Consumption of SmartphonesIntelligent Computing and Optimization10.1007/978-3-031-50327-6_29(274-288)Online publication date: 16-Dec-2023
https://doi.org/10.1007/978-3-031-50327-6_29
Hoque MFinley BRao AKumar AHui PAmmar MTarkoma S(2022)Context-driven Encrypted Multimedia Traffic Classification on Mobile Devices2022 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PerCom53586.2022.9762389(54-64)Online publication date: 21-Mar-2022
https://doi.org/10.1109/PerCom53586.2022.9762389
Madariaga DMadariaga JBustos-Jiménez JBustos B(2021)Improving Signal-Strength Aggregation for Mobile Crowdsourcing ScenariosSensors10.3390/s2104108421:4(1084)Online publication date: 5-Feb-2021
https://doi.org/10.3390/s21041084
Ramadan ENarayanan ADayalan UFezeu RQian FZhang ZBrunstrom AHan B(2021)Case for 5G-aware video streaming applicationsProceedings of the 1st Workshop on 5G Measurements, Modeling, and Use Cases10.1145/3472771.3474036(27-34)Online publication date: 23-Aug-2021
https://dl.acm.org/doi/10.1145/3472771.3474036
Narayanan AZhang XZhu RHassan AJin SZhu XZhang XRybkin DYang ZMao ZQian FZhang ZKuipers FCaesar M(2021)A variegated look at 5G in the wildProceedings of the 2021 ACM SIGCOMM 2021 Conference10.1145/3452296.3472923(610-625)Online publication date: 9-Aug-2021
https://dl.acm.org/doi/10.1145/3452296.3472923
Dupont GAit-Ameur YSingh NPantel M(2021)Event-B HybridationACM Transactions on Embedded Computing Systems10.1145/344827020:4(1-37)Online publication date: 13-May-2021
https://dl.acm.org/doi/10.1145/3448270
Lohstroh MMenard CBateni SLee E(2021)Toward a Lingua Franca for Deterministic Concurrent SystemsACM Transactions on Embedded Computing Systems10.1145/344812820:4(1-27)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3448128
Rahman MIsmail DModekurthy VSaifullah A(2021)LPWAN in the TV White SpacesACM Transactions on Embedded Computing Systems10.1145/344787720:4(1-26)Online publication date: 13-May-2021
https://dl.acm.org/doi/10.1145/3447877
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten