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Information Processing in Sensor Networks

IPSN 2003: Information Processing in Sensor Networks pp 582–592Cite as

Distributed Environmental Monitoring Using Random Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2634))

Abstract

We present a distributed algorithm for environmental monitoring of a scalar field (such as temperature, intensity of light, atmospheric pressure, etc.) using a random sensor network. We derive an error estimate, discuss the average complexity of the algorithm, and present some simulation results.

Partially supported by the NSF grant ITR/SI: Societal Scale Information Systems: Technologies, Design and Applications, number EIA-0122599.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720

    Slobodan N. Simić & Shankar Sastry

Authors
  1. Slobodan N. Simić
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  2. Shankar Sastry
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Editor information

Editors and Affiliations

  1. Palo Alto Research Center (PARC), 3333 Coyote Hill Road, Palo Alto, CA, 94304, USA

    Feng Zhao

  2. Computer Science Department, Stanford University, Gates Building 374, Stanford, CA, 94305, USA

    Leonidas Guibas

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© 2003 Springer-Verlag Berlin Heidelberg

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Simić, S.N., Sastry, S. (2003). Distributed Environmental Monitoring Using Random Sensor Networks. In: Zhao, F., Guibas, L. (eds) Information Processing in Sensor Networks. IPSN 2003. Lecture Notes in Computer Science, vol 2634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36978-3_39

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  • DOI: https://doi.org/10.1007/3-540-36978-3_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-02111-7

  • Online ISBN: 978-3-540-36978-3

  • eBook Packages: Springer Book Archive

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