|2/2011 - 2|
Wireless Meter Reading Based Energy-Balanced Steady Clustering Routing Algorithm for Sensor NetworksTIAN, Y. , TANG, Z.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (737 KB) | Citation | Downloads: 2,304 | Views: 4,376|
energy-balanced, energy-distance function, steady clustering, wireless sensor networks
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
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|
| 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.
 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.
 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 22]
 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 4342]
 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 86]
 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.
 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 2024]
 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.
 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.
 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 112]
 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] [Web of Science Times Cited 27]
 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.
 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.
 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.
 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 71]
 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.
 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
Web of Science® Citations for all references: 6,684 TCR
SCOPUS® Citations for all references: 0
Web of Science® Average Citations per reference: 371 ACR
SCOPUS® Average Citations per reference: 0
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 2019-06-17 23:07 in 61 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.