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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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Cluster-based Data Gathering in Long-Strip Wireless Sensor Networks

FANG, W. See more information about FANG, W. on SCOPUS See more information about FANG, W. on IEEExplore See more information about FANG, W. on Web of Science, LI, S. See more information about  LI, S. on SCOPUS See more information about  LI, S. on SCOPUS See more information about LI, S. on Web of Science, LIANG, X. See more information about  LIANG, X. on SCOPUS See more information about  LIANG, X. on SCOPUS See more information about LIANG, X. on Web of Science, LI, Z. See more information about LI, Z. on SCOPUS See more information about LI, Z. on SCOPUS See more information about LI, 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 (686 KB) | Citation | Downloads: 1,513 | Views: 4,742

Author keywords
wireless sensor networks, energy efficiency, clustering algorithms, channel allocation, relay

References keywords
sensor(20), networks(17), systems(4), protocol(4), network(4), energy(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01001
Web of Science Accession Number: 000301075000001
SCOPUS ID: 84860754985

Abstract
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Full text preview
This paper investigates a special class of wireless sensor networks that are different from traditional ones in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a long-strip topology. According to hardware capabilities of current sensor nodes, a cluster-based protocol for reliable and efficient data gathering in long-strip wireless sensor networks (LSWSN) is proposed. A well-distributed cluster-based architecture is first formed in the whole network through contention-based cluster head election. Cluster heads are responsible for coordination among the nodes within their clusters and aggregation of their sensory data, as well as transmission the data to the sink node on behalf of their own clusters. The intra-cluster coordination is based on the traditional TDMA schedule, in which the inter-cluster interference caused by the border nodes is solved by the multi-channel communication technique. The cluster reporting is based on the CSMA contention, in which a connected overlay network is formed by relay nodes to forward the data from the cluster heads through multi-hops to the sink node. The relay nodes are non-uniformly deployed to resolve the energy-hole problem which is extremely serious in the LSWSN. Extensive simulation results illuminate the distinguished performance of the proposed protocol.


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

[1] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, "A Survey on Sensor Networks", IEEE Communications Magazine, vol. 40, no. 8, pp. 102-114, Aug. 2002.
[CrossRef] [Web of Science Times Cited 5352] [SCOPUS Times Cited 9078]


[2] Y. S. Li, M. T. Thai, W. L. Wu, Wireless Sensor Networks and Applications. Springer, 2008.
[CrossRef]


[3] C. W. Chen, Y. Wang, "Chain-Type Wireless Sensor Network for Monitoring Long Range Infrastructures: Architecture and Protocols", International Journal of Distributed Sensor Networks, vol. 4, no. 4, pp. 287-314, Oct. 2008.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 47]


[4] H. F. Li, F. Liu, Y. X. Hou, "Railway Hazardous Articles Monitoring System Based on Wireless Sensor Network", Proc. 2nd International Conference on Information Engineering and Computer Science (ICIECS), Wuhan, Dec. 2010, pp. 1-4.
[CrossRef] [SCOPUS Times Cited 8]


[5] Y. J. Sun, X. Liu, W. Chen, M. Yu, "Chain-type Cluster Topology for Wireless Underground Sensor Networks", Journal of Computational Information Systems, vol. 7, no. 1, pp. 206-213, Jan. 2011.

[6] J. Lee, J. E. Kim, D. Kim, P. K. Chong, J. Kim, P. Jang, "RFMS: Real-time Flood Monitoring System with Wireless Sensor Networks", Proc. 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Atlanta, GA, Sep. 2008, pp. 527-528.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 12]


[7] A. A. Abbasi, M. Younis, "A Survey on Clustering Algorithms for Wireless Sensor Networks", Computer Communications, vol. 30, no. 14-15, pp. 2826-2841, Oct. 2007.
[CrossRef] [Web of Science Times Cited 784] [SCOPUS Times Cited 1178]


[8] X. B. Wu, G. H. Chen, S. K. Das, "Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution", IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 5, pp. 710-720, May. 2008.
[CrossRef] [Web of Science Times Cited 215] [SCOPUS Times Cited 342]


[9] H. G. Gong, M. Liu, "A Two Level TDMA Scheduling Protocol with Intra-cluster Coverage for Large Scale Wireless Sensor Network", International Journal of Computer Science and Network Security, vol. 6, no. 2b, pp. 77-84, Feb. 2006.

[10] W. Heinzelman, A. Chandrakasan, H. Balakrishnan, "An Application-Specific Protocol Architecture for Wireless Microsensor Networks", IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660-670, Oct. 2002.
[CrossRef] [Web of Science Times Cited 3646] [SCOPUS Times Cited 6026]


[11] O. Younis, S. Fahmy, "HEED: A Hybrid, Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks", IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366-379, Oct. 2004.
[CrossRef] [SCOPUS Times Cited 2789]


[12] Y. Xu, J. Heidemann, D. Estrin, "Geography-Informed Energy Conservation for Ad Hoc Routing", Proc. 7th Annual International Conference on Mobile Computing and Networking (MobiCom), Rome, Italy, Jul. 2001, pp. 70-84.
[CrossRef]


[13] O. Younis, S. Fahmy, "An Experimental Study of Routing and Data Aggregation in Sensor Networks", Proc. International Workshop on Localized Communication and Topology Protocols for Ad Hoc Networks (LOCAN), Washington DC, Nov. 2005, pp. 50-57.
[CrossRef] [SCOPUS Times Cited 42]


[14] W. W. Fang, D. P. Qian, T. S. Chu, Y. Liu, "A Reliable and Efficient Data Delivery Scheme for Clustered Wireless Sensor Networks", Journal of Xi’an Jiaotong University Nature Science, vol. 43, no. 8, pp. 28-33, Aug. 2009.

[15] F. M. Li, W. J. Xu, C. Gao, "A Power Control MAC Protocol for Wireless Sensor Networks", Journal of Software, vol. 18, no. 5, pp. 1080-1091, May. 2007.

[16] C. Sergiou, V. Vassiliou, "Energy Hole Prevention in Wireless Sensor Networks", Proc. 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), Stockholm, Sweden, Apr. 2010, pp. 398-399.
[CrossRef] [SCOPUS Times Cited 6]


[17] X. Li, A. Nayak, I. Stojmenovic, "Sink Mobility in Wireless Sensor Networks", Wireless Sensor and Actuator Networks: Algorithms and Protocols for Scalable Coordination and Data Communication, Wiley, 2010.

[18] O. Gnawali, R. Fonseca, K. Jamieson, D. Moss, P. Levis, "Collection Tree Protocol", Proc. 7th ACM Conference on Embedded Networked Sensor Systems (SenSys), Berkely, CA, Nov. 2009, pp. 1-14.
[CrossRef] [SCOPUS Times Cited 808]




References Weight

Web of Science® Citations for all references: 10,024 TCR
SCOPUS® Citations for all references: 20,336 TCR

Web of Science® Average Citations per reference: 528 ACR
SCOPUS® Average Citations per reference: 1,070 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 2017-12-13 13:11 in 86 seconds.




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


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