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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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  1/2009 - 10

 HIGH-IMPACT PAPER 

Cooperative Technique Based on Sensor Selection in Wireless Sensor Network

ISLAM, M. R., KIM, J.
 
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Download PDF pdficon (533 KB) | Citation | Downloads: 1,324 | Views: 5,884

Author keywords
cooperative technique, energy efficiency, IEEE 1451.5, channel estimation, wireless sensor networks

References keywords
energy(11), sensor(9), networks(8), communications(7), mimo(5), efficient(4), cooperative(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-02-03
Volume 9, Issue 1, Year 2009, On page(s): 56 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.01010
Web of Science Accession Number: 000264815300010
SCOPUS ID: 67749147000

Abstract
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An energy efficient cooperative technique is proposed for the IEEE 1451 based Wireless Sensor Networks. Selected numbers of Wireless Transducer Interface Modules (WTIMs) are used to form a Multiple Input Single Output (MISO) structure wirelessly connected with a Network Capable Application Processor (NCAP). Energy efficiency and delay of the proposed architecture are derived for different combination of cluster size and selected number of WTIMs. Optimized constellation parameters are used for evaluating derived parameters. The results show that the selected MISO structure outperforms the unselected MISO structure and it shows energy efficient performance than SISO structure after a certain distance.


References | Cited By  «-- Click to see who has cited this paper

[1] S. Cui, A. J. Goldsmith, A. Bahai, "Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks", IEEE J. Select. Areas. Commun., vol. 22, no. 6, pp. 1089-1098, Aug. 2003
[CrossRef] [Web of Science Times Cited 1094] [SCOPUS Times Cited 1474]


[2] M. Dohler, E. Lefranc, H. Aghvami, "Space-time block codes for Virtual antenna arrays", in PIMRC, Lisbon, Portugal, September 2002

[3] S. K. Jayaweera, "Virtual MIMO-based Cooperative Communication for Energy-constrained Wireless Sensor Networks", IEEE Transactions on Wireless Communications, vol. 5, no. 5, pp. 984-989, May 2006
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[5] Shuguang Cui, Goldsmith, A.J., Bahai, A., "Energy constrained modulation optimization", IEEE Trans. Wireless Commun., vol. 4, no. 5, pp. 2349-2360, Sept. 2005
[CrossRef] [Web of Science Times Cited 1031] [SCOPUS Times Cited 1289]


[6] R. Berry, R. Gallager, "Communication over fading channels with delay constraints", IEEE Trans. Inf. Theory, vol. 48, no. 5, pp. 1135-1149, May 2002
[CrossRef] [Web of Science Times Cited 541] [SCOPUS Times Cited 618]


[7] M. A. Khojastepour, A. Sabharwal, "Delay-constrained scheduling: Power efficiency, filter design, and bounds", Proc. INFOCOM Conf., Hong Kong, Mar. 7-11, 2004

[8] D. Rajan, A. Sabharwal, B. Aazhang, "Delay bounded packet scheduling of bursty traffic over wireless channels", IEEE Trans. Inf. Theory, vol. 50, no. 1, pp. 125-144, Jan. 2004
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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 47]


[17] Lee, K., "IEEE 1451: A Standard in Support of Smart Transducer Networking", Proc. of the 17th IEEE Instrumentation and Measurement Technology Conference, Baltimore, MD, May 1-4, 2000, Vol. 2, pp. 525-528
[CrossRef]


[18] Y. Meng, W. Gong, R. Kastner, T. Sherwood, "Algorithm/Architecture Co-exploration for Designing Energy Efficient Wireless Channel Estimator", Journal of Low Power Electr., vol.1, pp. 1-11, 2005
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[21] T. S. Rappaport, Wireless Communications Principles and Practices, 2nd ed. Upper Saddle River, NJ, USA: Prentice Hall, 2002

[22] H. Ochiai, P. Mitran, H.V. Poor, V. Tarokh, "Collaborative Beam forming for Distributed Wireless Ad Hoc Sensor Networks", IEEE Trans. on signal processing, vol. 53, no. 11, Nov. 2005
[CrossRef] [Web of Science Times Cited 441] [SCOPUS Times Cited 548]


[23] M. R. Islam and J. Kim, "Channel Estimated Cooperative MIMO in Wireless Sensor Network", IETE Technical Review, vol. 25 no. 5, pp. 234-243, 2008
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 9]


[24] D. Picovici, A.V. Contiu, A. Topa, J. Nelson, "Virtual Lab for Wireless Sensor Networks", Advances in Electrical and Computer Engineering Journal, vol. 8 no. 2, pp. 37-42, 2008
[CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 5]


References Weight

Web of Science® Citations for all references: 17,386 TCR
SCOPUS® Citations for all references: 22,357 TCR

Web of Science® Average Citations per reference: 724 ACR
SCOPUS® Average Citations per reference: 932 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 2024-12-16 11:20 in 129 seconds.




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Stefan cel Mare University of Suceava, Romania


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