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A Method of Distributed Data Storage Based on Integrated Threshold

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Book cover Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 215))

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Abstract

Wireless sensor networks existing in the data storage methods exist to some extent, fixed and stored in hot storage node problem, the performance there are still large room for improvement. This paper proposes a threshold based on an integrated data storage method, the threshold to the consolidated dispatching node, shut down redundant nodes, the nodes are scheduled to enter the work state and the other nodes into the suspended state. Scheduling mechanism through which not only balance the network load, to eliminate storage hot issues, but also work to reduce the number of nodes, to save energy and prolong network lifetime.

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References

  1. Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Computer Networks (52), 2292–2330 (2008)

    Google Scholar 

  2. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Networks (38), 393–422 (2002)

    Google Scholar 

  3. Bonnet, P., Gehrke, J., Seshadri, P.: Towards Sensor Database Systems. Mobile data managemet., 3–14 (2001)

    Google Scholar 

  4. Abbas, A.M., Kure, O.: Quality of Service in mobile ad hoc networks: a survey. International Journal of Ad Hoc and Ubiquitous Computing 6(2), 75–98 (2010)

    Article  Google Scholar 

  5. Padmanabhan, P., Gruenwald, L., Vallur, A., Atiquzzaman, M.: A survey of data replication techniques for mobile ad hoc network databases. The International Journal on Very Large Data Bases 17(5), 1143–1164 (2008)

    Article  Google Scholar 

  6. Dietrich, I., Dressler, F.: On the Lifetime of Wireless Sensor Networks. ACM Transactions on Sensor Networks 5(1), 1–39 (2009)

    Article  Google Scholar 

  7. Wu, M., Xu, J., Tang, X.: Processing Precision-constrained Approximate Queries in Wireless Sensor Networks. In: IEEE International Conference on Mobile Data Management, MDM 2006 (2006)

    Google Scholar 

  8. Tat, W.C.: Along & Across algorithm for Routing Events and Queries in Wireless Sensor Networks. In: Proceedings of Intelligent Signal Processing and Communication Systems, pp. 725–728 (2005)

    Google Scholar 

  9. Anastasi, G., Conti, M., Francesco, M.D.: Extending the lifetime of wireless sensor networks through adaptive sleep. IEEE Transactions on Industrial Informatics 5(3), 351–365 (2009)

    Article  Google Scholar 

  10. Ha, R.W., Ho, P.-H., Shen, X.S., Zhang, J.: Sleep scheduling for wireless sensor networks via network flow model. Computer Communications 29, 2469–2481 (2006)

    Article  Google Scholar 

  11. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS) (January 2000)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Hong, C. (2011). A Method of Distributed Data Storage Based on Integrated Threshold. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_72

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  • DOI: https://doi.org/10.1007/978-3-642-23324-1_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23323-4

  • Online ISBN: 978-3-642-23324-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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