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International Conference on Distributed Computing in Sensor Systems

DCOSS 2005: Distributed Computing in Sensor Systems pp 413Cite as

Energy Conservation Stratedgy for Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3560))

Abstract

A simple but efficient power conserving algorithm for the sensor networks is presented in this paper. The goal is to predict sleep time for the sensor networks based on statistics of data transfer. The proposed sensors in this paper can increase the sensor’s life time from 247% to 600% within the range of 1% tolerable data error.

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Author information

Authors and Affiliations

  1. Chonbuk National University, Jeonju, Jeonbuk Prov., Korea

    Hyo Jong Lee

Authors
  1. Hyo Jong Lee
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Southern California, 90089-2562, Los Angeles, CA, USA

    Viktor K. Prasanna

  2. Department of Computer Science, Louisiana State University, Baton Rouge, USA

    Sitharama S. Iyengar

  3. Department of Computer Engineering and Informatics, University of Patras, 26500, Rio, Patras, Greece

    Paul G. Spirakis

  4. School of Engineering and Applied Sciences, Harvard University, 02138, Cambridge, MA, USA

    Matt Welsh

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lee, H.J. (2005). Energy Conservation Stratedgy for Sensor Networks. In: Prasanna, V.K., Iyengar, S.S., Spirakis, P.G., Welsh, M. (eds) Distributed Computing in Sensor Systems. DCOSS 2005. Lecture Notes in Computer Science, vol 3560. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11502593_44

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  • DOI: https://doi.org/10.1007/11502593_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26422-4

  • Online ISBN: 978-3-540-31671-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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