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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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A Proposed Signal Reconstruction Algorithm over Bandlimited Channels for Wireless Communications, ASHOUR, A., KHALAF, A., HUSSEIN, A., HAMED, H., RAMADAN, A.
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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  1/2014 - 12

Wake-on-a-Schedule: Energy-aware Communication in Wi-Fi Networks

PERKOVIC, T. See more information about PERKOVIC, T. on SCOPUS See more information about PERKOVIC, T. on IEEExplore See more information about PERKOVIC, T. on Web of Science, STANCIC, I. See more information about  STANCIC, I. on SCOPUS See more information about  STANCIC, I. on SCOPUS See more information about STANCIC, I. on Web of Science, GARMA, T. See more information about GARMA, T. on SCOPUS See more information about GARMA, T. on SCOPUS See more information about GARMA, T. on Web of Science
 
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Download PDF pdficon (668 KB) | Citation | Downloads: 975 | Views: 4,496

Author keywords
energy consumption, energy efficiency, energy measurement, optimization, wireless networks

References keywords
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

Abstract
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Full text preview
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

[1] K. Wierenga and L. Florio, "Eduroam: past, present and future," Computational Methods in Science and Technology, Vol. 11 (2), 2005.

[2] A. Balasubramanian, R. Mahajan, and A. Venkataramani, "Augmenting mobile 3G using Wi-Fi," MobiSys: The International Conference on Mobile Systems, Applications, and Services, 2010.

[3] 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.

[4] 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.

[5] 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 8] [SCOPUS Times Cited 8]


[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.

[7] 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.

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

[9] M. Heusse, F. Rousseau, G. Berger-Sabbatel , A. Duda, "Performance anomaly of 802.11b," IEEE INFOCOM: IEEE Conference on Computer Communications, 2003.

[10] 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]


[11] IEEE 802.11, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, 1999.

[12] 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.

[13] 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 66] [SCOPUS Times Cited 27]


[14] 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.

[15] 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.

[16] L. Wagmann, S. Zutobradic, M. Puharic, "A method for calculation the ripple control signal", Energija, Vol. 57, pp. 88-115, 2008.

[17] 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 361] [SCOPUS Times Cited 422]


[18] 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 65] [SCOPUS Times Cited 82]


[19] Cisco Wireless LAN Controller Configuration Guide, Cisco Systems Inc. January 2013.

[20] 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.



References Weight

Web of Science® Citations for all references: 507 TCR
SCOPUS® Citations for all references: 547 TCR

Web of Science® Average Citations per reference: 24 ACR
SCOPUS® Average Citations per reference: 26 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 2024-12-19 14:55 in 36 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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