[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Wireless Sensor Networks: A Scalable Time Synchronization

  • Conference paper
Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3983))

Included in the following conference series:

Abstract

This paper presents a novel Chained-RIpple Time Synchronization (CRIT) protocol that is scalable, flexible, and high-precise in Wireless Sensor Networks (WSN). CRIT adopts hierarchical and multi-hop time synchronization architecture with contributing energy-saving effects in WSN. The algorithm works in two phases. In the first phase, a horizontal structure between Missionary Nodes (MN) is established in the network by Piggy-Back Neighbor Time Synchronization (PBNT) algorithm. In the second phase, a vertical structure between a MN and Sensor Nodes (SN) is set up in each sensor group (SG) by Distributed Depth First Search (DDFS) algorithm. By applying these two phases repeatedly, all nodes in WSN efficiently synchronize to each other. For the purpose of performance evaluation, we first study the error sources of CRIT. In addition, we simulate CRIT in terms of synchronization errors of two phases using network simulator.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Lamport, L.: Time, clocks, and the ordering of events in a distributed system. Communications of the ACM 21(7), 558–565 (1978)

    Article  MATH  Google Scholar 

  2. Cidon: Yet another distributed depth-first-search-algorithm. Inform. Process. Lett 26(6), 301–305 (1988)

    Article  Google Scholar 

  3. Elson, J., Girod, L., Estrin, D.: Fine-Grained Network Time Synchronization using Reference Broadcasts. In: The proceedings of the fifth symposium on Operating System Design and Implementation, SDI 2002 (December 2002)

    Google Scholar 

  4. Chipcon CC1000 Radio Datasheet, http://www.chipcon.com/files/CC1000_Data_Sheet_2_1.pdf

  5. The NS-2 simulator, http://www.isi.edu/nsnam/ns

  6. Duda, Harrus, G., Haddad, Y., Bernard, G.: Estimating global time in distributed systems. In: Proc. of the 7th IEEE International Conference on Distributed Computing Systems (ICDCS 1987), Berlin, Germany (September 1987)

    Google Scholar 

  7. Mills, D.L.: Internet time synchronization: The Network Time Protocol. In: Yang, Z., Marsland, T.A. (eds.) Global States and Time in Distributed Systems. IEEE Computer Society Press, Los Alamitos (1944)

    Google Scholar 

  8. Awerbuch: A new distributed depth-first-search algorithm, Inform. Process. Lett. 20(3), 147–150 (1985)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shin, KY., Kim, J.W., Park, I., Mah, P.S. (2006). Wireless Sensor Networks: A Scalable Time Synchronization. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751632_56

Download citation

  • DOI: https://doi.org/10.1007/11751632_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34077-5

  • Online ISBN: 978-3-540-34078-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics