More Web Proxy on the site http://driver.im/

research-article

Energy consumption anatomy of 802.11 devices and its implication on modeling and design

Authors:

Andres Garcia-Saavedra,

Giuseppe BianchiAuthors Info & Claims

CoNEXT '12: Proceedings of the 8th international conference on Emerging networking experiments and technologies

Pages 169 - 180

https://doi.org/10.1145/2413176.2413197

Published: 10 December 2012 Publication History

Abstract

A thorough understanding of the power consumption behavior of real world wireless devices is of paramount importance to ground energy-efficient protocols and optimizations on realistic and accurate energy models. This paper provides an in-depth experimental investigation of the per-frame energy consumption components in 802.11 Wireless LAN devices. To the best of our knowledge, our measurements are the first to unveil that a substantial fraction of energy consumption, hereafter descriptively named cross-factor, may be ascribed to each individual frame while it crosses the protocol/implementation stack (OS, driver, NIC). Our findings, summarized in a convenient new energy consumption model, contrast traditional models which either neglect or amortize such energy cost component in a fixed baseline cost, and raise the alert that, in some cases, conclusions drawn using traditional energy models may be fallacious.

References

[1]

Power Consumption and Energy Efficiency Comparisons of WLAN Products. White paper, Atheros Comm., Apr. 2004.

[2]

IEEE 802.11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, 2007.

[3]

Data Transfer over Wireless LAN Power Consumption Analysis. White paper, Intel Corp., Feb. 2009.

[4]

IEEE 802.11: Amendment 2. MAC Enhancements for Robust Audio Video Streaming, 2012.

[5]

S. J. Baek, G. de Veciana, and X. Su. Minimizing energy consumption in large-scale sensor networks through distributed data compression and hierarchical aggregation. IEEE J. Selected Areas Comm., 22(6):1130--1140, Aug. 2004.

Digital Library

[6]

P. Bahl et al. Opportunistic use of client repeaters to improve performance of WLANs. IEEE/ACM Trans. on Networking, 17(4):1160--1171, Aug. 2009.

Digital Library

[7]

V. Baiamonte and C.-F. Chiasserini. Saving energy during channel contention in 802.11 WLANs. Mobile Networks and Appl., 11(2):287--296, Apr. 2006.

Digital Library

[8]

N. Balasubramanian, A. Balasubramanian, and A. Venkataramani. Energy consumption in mobile phones: A measurement study and implications for network applications. In Proc. of ACM Internet Measurement Conference, Nov. 2009.

Digital Library

[9]

R. Bruno, M. Conti, and E. Gregori. Optimization of efficiency and energy consumption in p-persistent CSMA-based wireless LANs. IEEE Trans. on Mobile Computing, 1(1):10--31, Mar. 2002.

Digital Library

[10]

A. Carroll and G. Heiser. An analysis of power consumption in a smartphone. In Proc. of USENIX ATC, June 2010.

Digital Library

[11]

M. Carvalho, C. Margi, K. Obraczka, and J. Garcia-Luna-Aceves. Modeling energy consumption in single-hop IEEE 802.11 ad hoc networks. In Proc. of ICCCN, Oct. 2004.

[12]

J.-C. Chen and K.-W. Cheng. EDCA/CA: Enhancement of IEEE 802.11e EDCA by contention adaption for energy efficiency. IEEE Trans. on Wireless Comm., 7(8):2866--2870, Aug. 2008.

Digital Library

[13]

S. Chiaravalloti, F. Idzikowski, and L. Budzisz. Power consumption of WLAN network elements. Technical report, Tech. Univ. Berlin, Aug. 2011.

[14]

J.-P. Ebert, B. Burns, and A. Wolisz. A trace-based approach for determining the energy consumption of a WLAN network interface. In Proc. of European Wireless, Feb. 2002.

[15]

M. Ergen and P. Varaiya. Decomposition of energy consumption in IEEE 802.11. In Proc. of IEEE ICC, June 2007.

[16]

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

[17]

A. Garcia-Saavedra, P. Serrano, A. Banchs, and M. Hollick. Energy-efficient fair channel access for IEEE 802.11 WLANs. In Proc. of IEEE WoWMoM, June 2011.

Digital Library

[18]

D. Halperin, B. Greenstein, A. Sheth, and D. Wetherall. Demystifying 802.11n power consumption. In Proc. of HotPower, Oct. 2010.

Digital Library

[19]

X. He and F. Li. Throughput and energy efficiency comparison of one-hop, two-hop, virtual relay and cooperative retransmission schemes. In Proc. of European Wireless, Apr. 2010.

[20]

M. Hosseini, D. Ahmed, S. Shirmohammadi, and N. Georganas. A survey of application-layer multicast protocols. IEEE Comm. Surveys and Tutorials, 9(3):58--74, Sept. 2007.

Digital Library

[21]

A. Jain and M. Gruteser. Benefits of packet aggregation in ad-hoc wireless network. Technical report, Univ. of Colorado at Boulder, Aug. 2003.

[22]

A. P. Jardosh et al. Green WLANs: On-Demand WLAN Infrastructures. Mobile Networks and Appl., 14(6):798--814, Dec. 2009.

Digital Library

[23]

E.-S. Jung and N. H. Vaidya. An Energy Efficient MAC Protocol for Wireless LANs. In Proc. of IEEE INFOCOM, June 2002.

[24]

G. Y. Li et al. Energy-efficient wireless communications: tutorial, survey, and open issues. IEEE Wireless Comm., 18(6):28--35, Dec. 2011.

[25]

E. Lochin, A. Fladenmuller, J. yves Moulin, S. Fdida, and A. Manet. Energy consumption models for ad-hoc mobile terminals. In Proc. of Med-Hoc Net, June 2003.

[26]

J. S. Milton and J. C. Arnold. Introduction to probability and statistics, 4th ed. McGraw-Hill Higher Education, 2003.

Digital Library

[27]

A. W. Min, R. Wang, J. Tsai, M. A. Ergin, and T.-Y. C. Tai. Improving energy efficiency for mobile platforms by exploiting low-power sleep states. In Proc. of Computing Frontiers, May 2012.

Digital Library

[28]

A. Pathak, Y. C. Hu, and M. Zhang. Bootstrapping energy debugging on smartphones: a first look at energy bugs in mobile devices. In Proc. of ACM HotNets, Nov. 2011.

Digital Library

[29]

F. Qian et al. Characterizing radio resource allocation for 3G networks. In Proc. of ACM Internet Measurement Conference, Nov. 2010.

Digital Library

[30]

D. Qiao, S. Choi, A. Jain, and K. G. Shin. MiSer: an optimal low-energy transmission strategy for IEEE 802.11a/h. In Proc. of ACM Mobicom, Sept. 2003.

Digital Library

[31]

D. Qiao, S. Choi, and K. Shin. Interference analysis and transmit power control in IEEE 802.11a/h wireless LANs. IEEE/ACM Trans. on Networking, 15(5):1007--1020, Oct. 2007.

Digital Library

[32]

E. Rantala, A. Karppanen, S. Granlund, and P. Sarolahti. Modeling energy efficiency in wireless internet communication. In Proc. of ACM MobiHeld, Aug. 2009.

Digital Library

[33]

A. Rice and S. Hay. Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive and Mobile Computing, 6(6):593--606, Dec. 2010.

Digital Library

[34]

E. Rozner, V. Navda, R. Ramjee, and S. Rayanchu. NAPman: network-assisted power management for WiFi devices. In Proc. of ACM MobiSys, June 2010.

Digital Library

[35]

A. B. Sharma, L. Golubchik, R. Govindan, and M. J. Neely. Dynamic data compression in multi-hop wireless networks. In Proc. of ACM SIGMETRICS, June 2009.

Digital Library

[36]

C. Sun and C. Yang. Is two-way relay more energy efficient? In Proc. of IEEE GLOBECOM, Dec. 2011.

[37]

J.-M. Tarascon. Key challenges in future Li-battery research. Phil. Trans. of Royal Society A, 368(1923):3227--3241, July 2010.

[38]

J. R. Taylor. An introduction to error analysis. Oxford University Press, 1982.

[39]

S.-L. Tsao and C.-H. Huang. A survey of energy efficient MAC protocols for IEEE 802.11 WLAN. Computer Comm., 34(1):54--67, Jan. 2011.

Digital Library

[40]

X. Wang, J. Yin, and D. P. Agrawal. Analysis and optimization of the energy efficiency in the 802.11 DCF. Mobile Networks and Appl., 11(2):279--286, Apr. 2006.

Digital Library

[41]

H. Wu, S. Nabar, and R. Poovendran. An energy framework for the network simulator 3 (NS-3). In Proc. of SIMUTools, Mar. 2011.

Digital Library

Cited By

Maudet SAndrieux GChevillon RDiouris J(2024)Evaluation and Analysis of the Wi-Fi HaLow Energy ConsumptionIEEE Internet of Things Journal10.1109/JIOT.2024.340186211:17(28244-28252)Online publication date: 1-Sep-2024
https://doi.org/10.1109/JIOT.2024.3401862
Ryu KKim W(2024)Energy efficient deployment of aerial base stations for mobile users in multi-hop UAV networksAd Hoc Networks10.1016/j.adhoc.2024.103463157:COnline publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1016/j.adhoc.2024.103463
Liu RChoi N(2023)A First Look at Wi-Fi 6 in Action: Throughput, Latency, Energy Efficiency, and SecurityProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35794517:1(1-25)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3579451
Show More Cited By

Index Terms

Energy consumption anatomy of 802.11 devices and its implication on modeling and design
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

Recommendations

Per-frame energy consumption in 802.11 devices and its implication on modeling and design

This paper provides an in-depth understanding of the per-frame energy consumption behavior in 802.11 wireless LAN devices. Extensive measurements are performed for seven devices of different types (wireless routers, smartphones, tablets, and embedded ...
Revisiting 802.11 Rate Adaptation from Energy Consumption's Perspective
MSWiM '16: Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Rate adaptation in 802.11 WLANs has received a lot of attention from the research community, with most of the proposals aiming at maximising throughput based on network conditions. Considering energy consumption, an implicit assumption is that ...
User-Driven Idle Energy Save for 802.11x Mobile Devices
MASS '14: Proceedings of the 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems

Modern mobile devices are equipped with multiple network interfaces, with WiFi to be the preferred choice when it can be associated with an Access Point. Our study using real traces and experiments with 802.11 devices uncovers long idle times, while ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

CoNEXT '12: Proceedings of the 8th international conference on Emerging networking experiments and technologies

December 2012

384 pages

ISBN:9781450317757

DOI:10.1145/2413176

General Chairs:
Chadi Barakat
INRIA, Sophia Antipolis, France
,
Renata Teixeira
UPMC Sorbonne Universités and CNRS, Paris, France
,
Program Chairs:
K. K. Ramakrishnan
AT&T Labs Research, Florham Park, NJ, USA
,
Patrick Thiran
EPFL, Lausanne, Swizerland

Copyright © 2012 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

SIGCOMM: ACM Special Interest Group on Data Communication

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 December 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CoNEXT '12

Sponsor:

SIGCOMM

CoNEXT '12: Conference on emerging Networking Experiments and Technologies

December 10 - 13, 2012

Nice, France

Acceptance Rates

Overall Acceptance Rate 198 of 789 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

72
Total Citations
View Citations
677
Total Downloads

Downloads (Last 12 months)22
Downloads (Last 6 weeks)2

Reflects downloads up to 19 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Maudet SAndrieux GChevillon RDiouris J(2024)Evaluation and Analysis of the Wi-Fi HaLow Energy ConsumptionIEEE Internet of Things Journal10.1109/JIOT.2024.340186211:17(28244-28252)Online publication date: 1-Sep-2024
https://doi.org/10.1109/JIOT.2024.3401862
Ryu KKim W(2024)Energy efficient deployment of aerial base stations for mobile users in multi-hop UAV networksAd Hoc Networks10.1016/j.adhoc.2024.103463157:COnline publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1016/j.adhoc.2024.103463
Liu RChoi N(2023)A First Look at Wi-Fi 6 in Action: Throughput, Latency, Energy Efficiency, and SecurityProceedings of the ACM on Measurement and Analysis of Computing Systems10.1145/35794517:1(1-25)Online publication date: 2-Mar-2023
https://dl.acm.org/doi/10.1145/3579451
Famitafreshi GAfaqui MMelià-Seguí J(2022)Enabling Energy Harvesting-Based Wi-Fi System for an e-Health Application: A MAC Layer PerspectiveSensors10.3390/s2210383122:10(3831)Online publication date: 18-May-2022
https://doi.org/10.3390/s22103831
Li HShen YXi HXiao Y(2022)Complementary in Time and Space: Optimization on Cost and Performance with Multiple Resources Usage by Server Consolidation in Cloud Data CenterApplied Sciences10.3390/app1219965412:19(9654)Online publication date: 26-Sep-2022
https://doi.org/10.3390/app12199654
Gupta ABohara VSrivastava A(2022)Techno-Socio-Economic Impact of Joint Energy Resource Allocation Scheme in FiWi NetworkIEEE Transactions on Network and Service Management10.1109/TNSM.2022.314499619:2(1472-1488)Online publication date: Jun-2022
https://doi.org/10.1109/TNSM.2022.3144996
Gupta AGupta HBohara VSrivastava A(2022)Energy Resource Allocation for Green FiWi Network Using Ensemble LearningIEEE Transactions on Green Communications and Networking10.1109/TGCN.2022.31644436:3(1723-1738)Online publication date: Sep-2022
https://doi.org/10.1109/TGCN.2022.3164443
Ali JAltamimi M(2022)Energy consumption model for data transfer in smartphoneComputer Communications10.1016/j.comcom.2021.10.014182:C(13-21)Online publication date: 15-Jan-2022
https://dl.acm.org/doi/10.1016/j.comcom.2021.10.014
Lorincz JTahirovic AStojkoska B(2021)A Novel Real-Time Unmanned Aerial Vehicles-based Disaster Management Framework2021 29th Telecommunications Forum (TELFOR)10.1109/TELFOR52709.2021.9653238(1-4)Online publication date: 23-Nov-2021
https://doi.org/10.1109/TELFOR52709.2021.9653238
Kumar KGupta ABohara VSrivastava A(2021)Centralized vs Decentralized Resource Analysis of Green FiWi Networks2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)10.1109/ANTS52808.2021.9937014(90-95)Online publication date: 13-Dec-2021
https://doi.org/10.1109/ANTS52808.2021.9937014
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.

Media

Figures

Other

Tables

View Table of Contents