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JCR Impact Factor: 1.102
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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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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

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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.
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (533 KB) | Citation | Downloads: 798 | Views: 4,643

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 1008] [SCOPUS Times Cited 1360]


[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
[CrossRef] [Web of Science Times Cited 262] [SCOPUS Times Cited 349]


[4] S. Cui, A. J. Goldsmith, A. Bahai, "Modulation optimization under energy constraints", in Proc. IEEE Intl. Conf. Comm., Alaska, USA, May 2003

[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 945] [SCOPUS Times Cited 1182]


[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 501] [SCOPUS Times Cited 572]


[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
[CrossRef] [Web of Science Times Cited 122] [SCOPUS Times Cited 142]


[9] E. Uysal-Biyikoglu, B. Prabhakar, A. El Gamal, "Energy-efficient packet transmission over a wireless link", IEEE/ACM Trans. Netw., vol. 10, no. 4, pp. 487-499, Aug. 2002
[CrossRef] [Web of Science Times Cited 328] [SCOPUS Times Cited 405]


[10] Y. Yu, B. Krishnamachari, V. K. Prasanna, "Energy-latency tradeoffs for data gathering in wireless sensor networks", Proceedings the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '04), vol. 1, pp. 244-255, Hong kong, March 2004
[CrossRef]


[11] Y. Yao and G. B. Giannakis, "Energy-efficient scheduling for wireless sensor networks", IEEE Transactions on Communications, vol. 53, no. 8, pp. 1333-1342, 2005
[CrossRef] [Web of Science Times Cited 77] [SCOPUS Times Cited 105]


[12] J. Garzas, C. Calzon, A. Armada, "An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints", EURASIP Journal on Wireless Communications and Networking, Volume 2007, Article ID 41401, 7 pages, April 2007
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 27]


[13] V. Tarokh, H. Jafarkhani, A. R. Calderbank, "Space-time block codes from orthogonal designs", IEEE Transactions on Information Theory, vol. 45, no. 5, pp. 1456-1467, 1999
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[14] T. H. Lee, The Design of CMOS Radio-Frequency Integrated Circuits, Cambridge, U.K.: Cambridge Univ. Press, 1998 [PermaLink]

[15] J. G. Proakis, Digital Communications, 4th ed. NY: McGraw-Hill, 2000 [PermaLink]

[16] Y. Gai, L. Zhang, X. Shan, "Energy Efficiency of cooperative MIMO with data aggregation in wireless sensor networks", IEEE Wireless Comm. & Networking Conference (WCNC), Hong Kong, March 2007
[CrossRef] [SCOPUS Times Cited 44]


[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
[CrossRef]


[19] T. K. Tan, A. Raghunathan, G. Lakshminarayana, N. K. Jha, "Highlevel Software Energy Macro-Modeling", in Proc. Design Automation Conf., pp. 605-610, June 2001

[20] S. M. Alamouti, "A simple transmit diversity technique for wireless communications", IEEE J. Select. Areas in Commun., vol. 16, pp. 1451-1458, Oct. 1998
[CrossRef] [Web of Science Times Cited 8245] [SCOPUS Times Cited 10717]


[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 355] [SCOPUS Times Cited 454]


[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 2] [SCOPUS Times Cited 3]


References Weight

Web of Science® Citations for all references: 16,506 TCR
SCOPUS® Citations for all references: 21,043 TCR

Web of Science® Average Citations per reference: 688 ACR
SCOPUS® Average Citations per reference: 877 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 2021-03-05 21:07 in 116 seconds.




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


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