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

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2012 - 9

 HIGHLY CITED PAPER 

A Practical Solution for Time Synchronization in Wireless Sensor Networks

COCA, E. See more information about COCA, E. on SCOPUS See more information about COCA, E. on IEEExplore See more information about COCA, E. on Web of Science, POPA, V. See more information about POPA, V. on SCOPUS See more information about POPA, V. on SCOPUS See more information about POPA, V. on Web of Science
 
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Download PDF pdficon (541 KB) | Citation | Downloads: 1,019 | Views: 5,357

Author keywords
time synchronization, wireless sensor node, network protocol, lifetime estimation, clock drift

References keywords
networks(28), sensor(26), time(15), synchronization(10), energy(10), protocol(8), network(7), link(6), communications(6), sensys(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-11-30
Volume 12, Issue 4, Year 2012, On page(s): 57 - 62
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.04009
Web of Science Accession Number: 000312128400009
SCOPUS ID: 84872786088

Abstract
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Full text preview
Time synchronization in wireless sensor node networks is a hot topic. Many papers present various software algorithms and hardware solutions to keep accurate time information on mobile nodes. In terms of real life applications wireless sensor nodes are preferred in many domains, starting with simple room monitoring and finishing with pipeline surveillance projects. Positioning applications are far more restrictive on timekeeping accuracy, as for the velocity of nodes calculations precise time or time difference values are needed. The accuracy of time information on nodes has to be always correlated with the application requirements. In this paper, we present some considerations regarding time synchronization linked with specific needs for individual practical applications. A practical low energy method of time keeping at node level is proposed and tested. The performances of the proposed solution in terms of short and long term stability and energy requirements are analyzed and compared with existing solutions. Simulation and experimental results, some advantages and disadvantages of the method are presented at the end of the paper.


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

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[3] J. V. Greunen, J. Rabaey, "Lightweight Time Synchronization for Sensor Networks", Proceedings of the 2nd ACM International Conference on Wireless Sensor Networks and Applications (WSNA), San Diego, CA, September 2003,
[CrossRef]


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[9] C. Benzaid, A. Saiah, N. Badache, "Secure pairwise broadcast time synchronization in wireless sensor networks", International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), 2011,
[CrossRef]


[10] R. Fengyuan, L. Chuang, L. Feng, "Self-Correcting Time Synchronization Using Reference Broadcast In Wireless Sensor Network", IEEE Wireless Communications, August 2008,
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[CrossRef]


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[16] I. Fernandez, A. Asensio, I. Gutierrez, J. Garcia, I. Rebollo, J. De No, "Study of the communication distance of a MEMS Pressure Sensor Integrated in a RFID Passive Tag," Advances in Electrical and Computer Engineering, vol. 12, no. 1, pp. 15-18, 2012.
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[19] E. Belding-Royer, C. Perkins, "Evolution and future directions of the ad hoc on-demand distance-vector routing protocol", Ad Hoc Networks Journal, 1(1), 125-150, 2003,
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[20] E. E, Egbogah, A. O. Fapojuwo, "A survey of system architecture requirements for health care-based wireless sensor networks", vol. 11, no. 5, pp. 4875-49898, Sensors, 2011,
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[21] S. Cui, R. Madan, A. J. Goldsmith, S, Lall, "Cross-layer energy and delay optimization in small-scale sensor networks", IEEE Trans. Wirel. Commun. 2007, 6, 3688-3699, 2007,
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[25] O. Younis, S. Fahmy, "Distributed Clustering in Ad-Hoc Sensor Networks: A Hybrid, Energy-Efficient Approach", In Proceedings of the The 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, Hong Kong, China, 7-11 March 2004, pp. 629-640.
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[26] A. Rowe, R. Mangharam, R. Rajkumar, "RT-Link: A Time-Synchronized Link Protocol for Energy-Constrained Multi-hop Wireless Networks", 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, 2006. SECON '06. 2006,
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[27] Anthony Rowe, Rahul Mangharam, and Raj Rajkumar, "RTLink: A Time-Synchronized Link Protocol for Energy-Constrained Multi-hop Wireless Networks", CMU Tech Report TR05-08, 2005.

[28] A. Eswaran, A. Rowe, R. Rajkumar, "Nano-RK: an Energy-aware Resource-centric RTOS for Sensor Networks", IEEE Real-Time Systems Symposium, 2005,
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[29] J. Polastre, J. Hill, D. Culler, "Versatile low power media access for wireless sensor networks", SenSys, November 2005,
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[31] T. Dam, K. Langendoen, "An adaptive energy-efficient mac protocol for wireless sensor networks", SenSys, November 2003,
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[33] V. Rajendran, K. Obraczka, J. J. Garcia-Luna-Aceves, "Energy-efficient, collision-free medium access control for wireless sensor networks", Sensys, 2003,
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[34] ***, MAXIM DS1307 64 x 8, Serial, I2C Real-Time Clock DataSheet, 2008.

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[38] ***, 8-bit Atmel Microcontroller with 4/8/16K Bytes In-System Programmable Flash Datasheet, ATMEL, 05/2011



References Weight

Web of Science® Citations for all references: 3,578 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 92 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 2024-04-15 02:29 in 141 seconds.




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