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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: 644266260
doi: 10.4316/AECE


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  4/2013 - 1
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Rich: Region-based Intelligent Cluster-Head Selection and Node Deployment Strategy in Concentric-based WSNs

FAN, C.-S. See more information about FAN, C.-S. on SCOPUS See more information about FAN, C.-S. on IEEExplore See more information about FAN, C.-S. 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 (765 KB) | Citation | Downloads: 967 | Views: 1,839

Author keywords
clustering methods, energy consumption, wireless sensor networks, energy efficiency, routing protocols

References keywords
sensor(25), networks(23), deployment(8), lifetime(4), information(4), energy(4), communications(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-11-30
Volume 13, Issue 4, Year 2013, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.04001
Web of Science Accession Number: 000331461300001
SCOPUS ID: 84890143555

Abstract
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Full text preview
In a random deployment, sensor nodes are scattered randomly in the sensing field. Hence, the coverage can not be guaranteed. In contrast, the coverage of uniformly deployment is in general larger than the random deployment. However, uniformly deployment strategy may cause unbalanced traffic pattern in wireless sensor networks (WSNs). In this situation, larger load may be imposed to CHs (cluster heads) around the sink. Therefore, CHs close to the sink use up their energy earlier than those farther away from the sink. To overcome this problem, we propose a novel node deployment strategy in the concentric model, namely, Region-based Intelligent Cluster-Head selection and node deployment strategy (called Rich). The coverage, energy consumption and data routing issues are well investigated and taken into consideration in the proposed Rich scheme. The simulation results show that the proposed Rich alleviates the unbalanced traffic pattern significantly, prolongs network lifetime and achieves satisfactory coverage ratio.


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

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[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 41]


[2] W. Fang, S. Li, X. Liang and Z. Li, "Cluster-based Data Gathering in Long-Strip Wireless Sensor Networks," Advances in Electrical and Computer Engineering, vol. 12, no. 1, pp. 3-8, Feb. 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 7]


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[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 38]


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[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 15]


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[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 3]


[6] N. Essaddi, M. Hamdi, S. Habib and N. Boudriga, "Evolutionary strategies for non-uniform deployment in wireless sensor networks," Int. J. of Communication Networks and Distrib. Systems, vol. 7, no. 3/4, pp. 331-354, May 2011.
[CrossRef] [SCOPUS Times Cited 2]


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[CrossRef] [SCOPUS Times Cited 44]


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[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 36]


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[CrossRef] [SCOPUS Times Cited 6]


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[CrossRef] [SCOPUS Times Cited 17]


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[CrossRef] [SCOPUS Times Cited 13]


[12] N. Kulkarni, R. Prasad, H. Cornean and N. Gupta, "Performance Evaluation of AODV, DSDV and DSR for Quasi Random Deployment of Sensor Nodes in Wireless Sensor Networks," Int. Conf. on Devices and Communications (ICDeCom), pp. 1-5, Feb. 2011.
[CrossRef] [SCOPUS Times Cited 1]


[13] Y.R. Tsai, "Sensing Coverage for Randomly Distributed wireless sensor networks in shadowed environments," IEEE Trans. on Vehicular Technology, pp. 556-564, Jan. 2008.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 56]


[14] P. Balister and S. Kumar, "Random vs. Deterministic Deployment of Sensors in the Presence of Failures and Placement Errors," IEEE Int. Conf. on Computer Communications (INFOCOM), pp. 2896-2900, Apr. 2009.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 23]


[15] G. Chen, S.K. Das and X. Wu, "Avoiding energy holes in wireless sensor networks with nonuniform node distribution," IEEE Trans. on Parallel and Distrib. Systems, vol.19, no.5, pp.710-720, May 2008.
[CrossRef] [Web of Science Times Cited 171] [SCOPUS Times Cited 286]


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[CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 101]


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[CrossRef] [SCOPUS Times Cited 14]


[18] D. Ganesan, R. Cristescu and B.B. Lozano, "Power Efficient Sensor Placement and Transmission Structure for Data Gathering under Distortion Constraints," ACM Trans. on Sensor Networks, vol. 2, no. 2, pp. 155-181, May 2006.
[CrossRef] [SCOPUS Times Cited 34]


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[CrossRef] [SCOPUS Record]


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[CrossRef] [Web of Science Times Cited 3017] [SCOPUS Times Cited 5322]




References Weight

Web of Science® Citations for all references: 3,405 TCR
SCOPUS® Citations for all references: 6,105 TCR

Web of Science® Average Citations per reference: 155 ACR
SCOPUS® Average Citations per reference: 278 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 2016-12-06 06:12 in 113 seconds.




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Stefan cel Mare University of Suceava, Romania


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