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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2013 - 1
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 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (765 KB) | Citation | Downloads: 1,673 | Views: 1,540

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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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 38] [SCOPUS Times Cited 64]


[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 9] [SCOPUS Times Cited 11]


[3] M. Saleem, I. Ullah and M. Farooq, "BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks," Information Sciences, vol. 200, no. 1, pp. 38-56, Jan. 2012.
[CrossRef] [Web of Science Times Cited 67] [SCOPUS Times Cited 90]


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[CrossRef] [Web of Science Times Cited 20] [SCOPUS Times Cited 28]


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


[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 3]


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[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 53]


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[CrossRef] [SCOPUS Times Cited 27]


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[CrossRef] [SCOPUS Times Cited 40]


[11] Y. Xin, T. Guven and M. Shayman, "Relay Deployment and Power Control for Lifetime Elongation in Sensor Networks," Proceedings of the IEEE Int. Conf. on Communications (ICC), pp. 3461-3466, June 2006.
[CrossRef] [SCOPUS Times Cited 20]


[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 17]


[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 80] [SCOPUS Times Cited 109]


[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 31] [SCOPUS Times Cited 50]


[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 316] [SCOPUS Times Cited 465]


[16] D. Wang, B. Xie and D.P. Agrawal, "Coverage and lifetime optimization of wireless sensor networks with Gaussian distribution," IEEE Trans. on Mobile Computing, vol. 7, no. 12, pp. 1444-1458, Dec. 2008.
[CrossRef] [Web of Science Times Cited 122] [SCOPUS Times Cited 166]


[17] F.A. Aderohunmu, J.D. Deng, and M.K. Purvis, "A Deterministic Energy-efficient Clustering Protocol for Wireless Sensor Networks," Int.l Conf. on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 341-346, Dec. 2011.
[CrossRef] [SCOPUS Times Cited 64]


[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 55]


[19] W. K. Lai, C. S. Fan and L. Y. Lin, "Arranging cluster sizes and transmission ranges for wireless sensor networks," Information Sciences, vol. 183, no. 1, pp. 117-131, Jan. 2012.
[CrossRef] [Web of Science Times Cited 78] [SCOPUS Times Cited 113]


[20] M.R. Senouci, A. Mellouk, L. Oukhellou and A. Aissani, "Uncertainty-Aware Sensor Network Deployment," IEEE Global Telecommunications Conf. (GLOBECOM), pp. 1-5, Dec. 2011.
[CrossRef] [SCOPUS Times Cited 25]


[21] W.R. Heinzelman, A. Chandrakasan and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks," IEEE Trans. on Wireless Communications, vol. 1, no. 4, pp. 660-670, Oct. 2002.
[CrossRef] [Web of Science Times Cited 5905] [SCOPUS Times Cited 9132]




References Weight

Web of Science® Citations for all references: 6,710 TCR
SCOPUS® Citations for all references: 10,580 TCR

Web of Science® Average Citations per reference: 305 ACR
SCOPUS® Average Citations per reference: 481 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 2024-03-28 12:30 in 131 seconds.




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Stefan cel Mare University of Suceava, Romania


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