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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
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Next issue: Feb 2017
Avg review time: 74 days


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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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  2/2011 - 2

Wireless Meter Reading Based Energy-Balanced Steady Clustering Routing Algorithm for Sensor Networks

TIAN, Y. See more information about TIAN, Y. on SCOPUS See more information about TIAN, Y. on IEEExplore See more information about TIAN, Y. on Web of Science, TANG, Z. See more information about TANG, Z. on SCOPUS See more information about TANG, Z. on SCOPUS See more information about TANG, Z. on Web of Science
 
Click to see author's profile on 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 (737 KB) | Citation | Downloads: 2,229 | Views: 3,398

Author keywords
energy-balanced, energy-distance function, steady clustering, wireless sensor networks

References keywords
networks(18), sensor(15), energy(8), distributed(8), data(7), computing(5), parallel(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-05-30
Volume 11, Issue 2, Year 2011, On page(s): 9 - 14
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02002
Web of Science Accession Number: 000293840500002
SCOPUS ID: 79958824204

Abstract
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Full text preview
According to the characteristics of wireless meter reading system, an energy-balanced and energy-efficient steady clustering routing algorithm (EBSC, Energy-Balanced Steady Clustering) is proposed. In the clustering mechanism, the current cluster head nodes determine cluster head nodes for next round according to the residual energy of the cluster members. In the next round, each non-cluster head node decides the cluster to which it will belong according to energy-distance function. The cluster head nodes send data to base station by the communication model of single hop and multi-hop that is decided according to the criterion of minimum energy consumption. In EBSC algorithm, the number of cluster head nodes generated in each round is very steady, and EBSC combines the advantage both distributed and centralized clustering algorithm. Experimental results show that the proposed routing algorithm not only efficiently uses limited energy of network nodes, but also well balances energy consumption of all nodes, and significantly prolongs network lifetime.


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

[1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cyirci, "Wireless sensor networks: a survey," Computer Networks, vol. 38, no. 4, pp. 393-422, March. 2002.

[2] B. Krishnamachari, D. Estrin, and S. Wicker, "The impact of data aggregation in wireless sensor networks," in Proc. 22th Int. Conf. on Distributed Computing Systems Workshops(ICDCSW'02), Vienna, Austria, 2002, pp. 575-578.

[3] A. E. Rhazi and S. Pierre, "A tabu search algorithm for cluster building in wireless sensor networks," IEEE Trans. Mobile Computing, vol. 8, no. 4, pp. 433-444, Apr. 2009.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 44]


[4] W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "An application -specific protocol architecture for wireless microsensor networks," IEEE Trans. Wireless Communication, vol. 1, no. 4, pp. 660-670, Oct. 2002.
[CrossRef] [Web of Science Times Cited 3140] [SCOPUS Times Cited 5457]


[5] P. K. Agarwal and C. M. Procopiuc, "Exact and approximation algorithms for clustering," Algorithmica, vol. 33, no. 2, pp. 201-226, Jun. 2002.
[CrossRef] [Web of Science Times Cited 67]


[6] W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-eff- icient communication protocol for wireless microsensor networks," in Proc. 33rd Hawaii Int. Conf. System Sciences(HICSS), Hawaii, 2000, pp. 1-10.

[7] O. Younis and S. Fahmy, "HEED: a hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks," IEEE Trans. Mobile Computing, vol. 3, no. 4, pp. 660-669, Oct. 2004.
[CrossRef] [Web of Science Times Cited 1338] [SCOPUS Times Cited 2425]


[8] O. Younis and S. Fahmy, "An experimental study of routing and data aggregation in sensor networks," in Proc. Int. Conf. on Localized Communication and Topology Protocols for Ad hoc Networks(LOCAN), Washington DC, 2005, pp. 50-57.

[9] C. F. Li, G. H. Chen, M. Ye, and J. Wu, "An uneven cluster-based routing protocol for wireless sensor networks," Chinese Journal of Computer, vol. 30, no. 1, pp. 27-36, Jan. 2007.

[10] H. B. Zhang and H. Shen, "Balancing energy consumption to maximize network lifetime in data-gathering sensor networks," IEEE Trans. Parallel and Distributed System, vol. 20, no. 10, pp. 1526-1539, Oct. 2009.
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 113]


[11] T. Kaur and J. Baek, "A strategic deployment and cluster-header selection for wireless sensor networks," IEEE Trans. Consumer Electronics, vol. 55, no. 4, pp. 1890-1897, Nov. 2009.
[CrossRef] [SCOPUS Times Cited 38]


[12] S. Olariu and I. Stojmenovic, "Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting," in Proc. IEEE Int. Conf. on Computer Communications(INFOCOM'06), Barcelona, Spain, 2006, pp. 1-12.

[13] A. Jarry, P. Leone, O. Powell, and J. Rolim, "An optimal data propagation algorithm for maximizing the lifespan of sensor networks," in Proc. Distributed Computing in Sensor Systems (DCOSS'06), 2006, pp. 405-421.

[14] C. Efthymiou, S. Nikoletseas, and J. Rolim, "Energy balanced data propagation in wireless sensor networks," in Proc. 18th Int. Parallel and Distributed Processing Symp. (IPDPS'04), 2004, pp. 225.

[15] O. Powell, P. Leone, and J. Rolim, "Energy optimal data propagation in wireless sensor networks," Journal Parallel and Distributed Computing, vol. 67, pp. 302-317, 2007.
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 77]


[16] H. Zhang, H. Shen, and Y. Tan, "Optimal energy balanced data gathering in wireless sensor networks," in Proc. Int. Parallel and Distributed Processing Symp. (IPDPS'07), Long Beach, CA, 2007, pp. 1-10.
[CrossRef]


[17] F. J. Shang, M. Abolhasan, and T. Wysocki, "Distributed energy efficient unequal clustering algorithm for wireless sensor networks," Journal on Communications, vol. 30, no. 10, pp. 34-43, Oct. 2009



References Weight

Web of Science® Citations for all references: 4,688 TCR
SCOPUS® Citations for all references: 8,154 TCR

Web of Science® Average Citations per reference: 260 ACR
SCOPUS® Average Citations per reference: 453 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 background updated on 2017-02-18 23:19 in 53 seconds.




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