|1/2014 - 12|
Wake-on-a-Schedule: Energy-aware Communication in Wi-Fi NetworksPERKOVIC, T. , STANCIC, I. , GARMA, T.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (668 KB) | Citation | Downloads: 478 | Views: 3,084|
energy consumption, energy efficiency, energy measurement, optimization, wireless networks
mobile(6), systems(5), energy(5), communications(5), applications(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 77 - 80
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01012
Web of Science Accession Number: 000332062300012
SCOPUS ID: 84894608185
Excessive energy consumption of mobile device Wi-Fi (IEEE 802.11x) interface is limiting its operational time on batteries, and impacts total energy consumption of electronic devices. In recent years research community has invested great effort in better efficiency of energy consumption. However, there is still a space for improvement. Wi-Fi devices connected to the single AP (Access Point) compete for the medium during data exchange. However, due to the performance anomaly in 802.11 networks, a low data rate device will force all other devices connected to the AP to communicate at low rate, which will increase the total energy consumption of these devices. Wake-on-a-Schedule algorithm is proposed reducing the energy consumption of devices placed in the area with the weaker signal by scheduling the data packets for each client on the server side which will not allow clients to compete for the Wi-Fi medium. Through extensive measurements we show that our algorithm can save up to 60% of energy consumption on the client side.
|References|||||Cited By «-- Click to see who has cited this paper|
| K. Wierenga and L. Florio, "Eduroam: past, present and future," Computational Methods in Science and Technology, Vol. 11 (2), 2005.
 A. Balasubramanian, R. Mahajan, and A. Venkataramani, "Augmenting mobile 3G using Wi-Fi," MobiSys: The International Conference on Mobile Systems, Applications, and Services, 2010.
 H. Falaki, D. Lymberopoulos, R. Mahajan, S. Kandula, D. Estrin, "A first look at traffic on smartphones," IMC: ACM SIGCOMM conference on Internet measurement, 2010.
 H. Falaki, R. Mahajan, S. Kandula, D. Lymberopoulos, R. Govindan, D. Estrin, "Diversity in smartphone usage," MobiSys: The Int. Conf. on Mobile Systems, Applications, and Services, 2010.
 E. Coca, V. Popa, "A Practical solution for time synchronization in wireless sensor networks," Advances in Electrical and Computer Engineering, Vol. 12, pp. 57-62, 2012
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 6]
 G. P. Perrucci, F. H. P. Fitzek, J. Widmer, "Survey on energy consumption entities on the smartphone platform," IEEE Vehicular Technology Conference (VTC Spring), 2011.
 L. M. Feeney, M. Nilsson, "Investigating the energy consumption of a wireless network interface in an ad hoc networking environment," IEEE INFOCOM: Conference on Computer Communications, 2001.
 Power consumption and energy efficiency comparisons of WLAN products, White paper, Atheros Communications, Inc., 2003.
 M. Heusse, F. Rousseau, G. Berger-Sabbatel , A. Duda, "Performance anomaly of 802.11b," IEEE INFOCOM: IEEE Conference on Computer Communications, 2003.
 M. R. Islam, J. Kim, "Cooperative technique based on sensor selection in wireless sensor network," Advances in Electrical and Computer Engineering, Vol. 9, pp. 56-62, 2009
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 8]
 IEEE 802.11, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, 1999.
 E. Rozner, V. Navda, R. Ramjee, S. Rayanchu, "NAPman: network-assisted power management for Wi-Fi devices," MobiSys: The Int. Conf. on Mobile Systems, Applications, and Services, 2010.
 J. Manweiler, R. R. Choudhury, "Avoiding the rush hours: Wi-Fi energy management via traffic isolation," IEEE Transactions on Mobile Computing, Vol. 11, pp. 739-752, 2012.
[CrossRef] [Web of Science Times Cited 60] [SCOPUS Times Cited 23]
 J. Ma, S. H. Kim, D. Kim, "Tame: time window scheduling of wireless access points for maximum energy efficiency and high throughput," IEEE Int. Conf. on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2012.
 J. Barranger, "Hysteresis and eddy-current losses of a transformer lamination viewed as an application of the Poynting theorem," National Aeronautics and pace Administration, pp. 3-17, 1965.
 L. Wagmann, S. Zutobradic, M. Puharic, "A method for calculation the ripple control signal", Energija, Vol. 57, pp. 88-115, 2008.
 F. Rashid-Farrokhi, L. Tassiulas, K. J. R. Liu, "Joint optimal power control and beamforming in wireless networks using antenna arrays," IEEE Transactions on Communications, Vol. 46(10), pp. 1313-1324, 1998.
[CrossRef] [Web of Science Times Cited 343] [SCOPUS Times Cited 398]
 K. R. Foster, "Radiofrequency exposure from wireless LANs utilizing Wi-Fi technology," Health Physics, Vol. 92, pp 280-289, 2007.
[CrossRef] [Web of Science Times Cited 62] [SCOPUS Times Cited 74]
 Cisco Wireless LAN Controller Configuration Guide, Cisco Systems Inc. January 2013.
 J. Riihijarvi, M. Petrova, P. Mahonen, Jd.A. Barbosa, "Performance evaluation of automatic channel assignment mechanism for IEEE 802.11 based on graph colouring," In Int. Symposium on Personal, Indoor and Mobile Radio Communications, pp 1-5, 2006.
Web of Science® Citations for all references: 478 TCR
SCOPUS® Citations for all references: 509 TCR
Web of Science® Average Citations per reference: 23 ACR
SCOPUS® Average Citations per reference: 24 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2021-07-16 17:31 in 40 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.