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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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  2/2011 - 1
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 HIGH-IMPACT PAPER 

Queueing Theory-based Path Delay Analysis of Wireless Sensor Networks

QIU, T. See more information about QIU, T. on SCOPUS See more information about QIU, T. on IEEExplore See more information about QIU, T. on Web of Science, XIA, F. See more information about  XIA, F. on SCOPUS See more information about  XIA, F. on SCOPUS See more information about XIA, F. on Web of Science, FENG, L. See more information about  FENG, L. on SCOPUS See more information about  FENG, L. on SCOPUS See more information about FENG, L. on Web of Science, WU, G. See more information about  WU, G. on SCOPUS See more information about  WU, G. on SCOPUS See more information about WU, G. on Web of Science, JIN, B. See more information about JIN, B. on SCOPUS See more information about JIN, B. on SCOPUS See more information about JIN, B. on Web of Science
 
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Download PDF pdficon (794 KB) | Citation | Downloads: 3,497 | Views: 12,246

Author keywords
wireless sensor networks, queueing networks, modeling, path planning, delay analysis

References keywords
networks(15), sensor(14), network(11), queueing(7), communications(6), theory(5), performance(4), modeling(4), energy(4), delay(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): 3 - 8
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.02001
Web of Science Accession Number: 000293840500001
SCOPUS ID: 79958773857

Abstract
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Full text preview
Path planning is one of the important factors that affect data transmission and processing in wireless sensor networks (WSNs). This paper addresses this issue by means of the paths delay analysis. Considering that WSNs are used for temperature monitoring, we model the WSNs using the open queueing network theory and analyze the paths delay based on the model. An iterative approximation algorithm is proposed for the qualitative analysis of the packet arrival rate of sensor nodes. According to the capacity and redundancy of nodes along the path, the destination node search trees are created for pre-selecting the transmission paths. Then the end-to-end delays of the pre-selected node paths and the average delay of sub-queueing networks are calculated. The optimal path and the assistant path for data transmission in WSNs could be obtained on the basis of the delay analysis. Numerical results demonstrate the effectiveness of the proposed approach.


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

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[3] H. Jeon, J. Choi, H. Lee, and J. Ha, "Channel-aware energy efficient transmission strategies for large wireless sensor networks," IEEE Signal Processing Letters, vol. 17, no. 7, pp. 643-646, Dec. 2010,
[CrossRef]


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[7] G. Li, C. Zhu, and X. Li, "Application of chaos theory and wavelet to modeling the traffic of wireless sensor networks," 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS, pp. 1-4, Wuhan, Apr. 2010:
[CrossRef]


[8] A. Shareef, and Y. Zhu, "Energy modeling of processors in wireless sensor networks based on petri nets," Proceedings of the International Conference on Parallel Processing Workshops, pp. 129-134, Portland, Sep. 2008,
[CrossRef]


[9] B. Vidhyacharan, "State diagrams and steady-state balance equations for open queueing network models," Computers and Electrical Engineering,vol. 31, no. 7, pp. 460-467, Oct. 2005,
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[11] L. Wang, Z. Wang, and K. Dai, "An approximate method by queueing network modeling for performance evaluation of asynchronous pipeline rings," 2006 IEEE Int Conf on Computer and Information Technology, pp. 244-249, Seoul, sep. 2006,
[CrossRef]


[12] A. A. A. Kock, L. F. P. Etman, and J. E. Rooda, "Effective process times for multi-server flowlines with finite buffers," IIE Transactions, vol. 40, no. 3, pp. 177-186, Mar. 2008,
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[CrossRef] [Web of Science Times Cited 59]


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[17] D. Kouvatsos, and I. Awan, "Entropy maximisation and open queueing networks with priorities and blocking," Performance Evaluation, vol. 51, no. 2-4, pp. 191-227, Feb. 2003,
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[18] I. Awan, "Analysis of multiple-threshold queues for congestion control of heterogeneous traffic streams," Simulation Modelling Practice and Theory, vol. 14, no. 6, pp. 712-724, Aug. 2006,
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[19] J. Sheu, P. K. Sahoo, C. Su, and W. Hu, "Efficient path planning and data gathering protocols for the wireless sensor network," Computer Communications, vol. 33, no. 3, pp. 398-408, Feb. 2010,
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[20] N. Bisnik, and A. A. Abouzeid, "Queueing network Models for Delay Analysis of Multihop Wireless Ad Hoc Networks," Ad Hoc Networks, , vol. 7, no. 1, pp. 79-97, Jan. 2009,
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[21] G. Chen, W. Guo, and Y. Chen, "Research on dynamic alliance of task allocation and its algorithm in wireless sensor network," Journal on Communications, vol. 30, no. 11, pp. 48-55, 2009.

[22] J. Yick, B. Mukherjee, and D. Ghosal, "Wireless sensor network survey," Computer Networks, vol. 52, no. 12, pp. 2292-2330, Aug. 2008,
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[25] S. A. B. Awwad, C. K. Ng, N. K. Noordin, and M. F. A. Rasid, "Cluster Based Routing Protocol for Mobile Nodes in Wireless Sensor Network," Wireless Personal Communications, vol. 55, no. 5, pp. 1-31, 2010,
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References Weight

Web of Science® Citations for all references: 11,575 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 399 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 2024-04-16 22:29 in 119 seconds.




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