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Reliable Networks with Unreliable Sensors

  • Conference paper
Distributed Computing and Networking (ICDCN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6522))

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Abstract

Wireless sensor networks (WSNs) deployed in hostile environments suffer from a high rate of node failure. We investigate the effect of such failure rate on network connectivity. We provide a formal analysis that establishes the relationship between node density, network size, failure probability, and network connectivity. We show that as network size and density increase, the probability of network partitioning becomes arbitrarily small. We show that large networks can maintain connectivity despite a significantly high probability of node failure. We derive mathematical functions that provide lower bounds on network connectivity in WSNs. We compute these functions for some realistic values of node reliability, area covered by the network, and node density, to show that, for instance, networks with over a million nodes can maintain connectivity with a probability exceeding 99% despite node failure probability exceeding 57%.

This work was supported in part by NSF grant 0964696 and Texas Higher Education Coordinating Board grant NHARP 000512-0130-2007.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, 77840, USA

    Srikanth Sastry, Jianer Chen & Jennifer L. Welch

  2. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA

    Tsvetomira Radeva

Authors
  1. Srikanth Sastry
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  2. Tsvetomira Radeva
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  3. Jianer Chen
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  4. Jennifer L. Welch
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Editor information

Editors and Affiliations

  1. Microsoft Research Silicon Valley, 1065 La Avenida – bldg. 6, 94043, Mountain View, CA, USA

    Marcos K. Aguilera

  2. School of Computing, National University of Singapore, COM2-04-25, 15 Computing Drive, 117418, Republic of Singapore

    Haifeng Yu

  3. 458 Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, MC-228, 1308 West Main Street, 61801, Urbana, IL, USA

    Nitin H. Vaidya

  4. Alcatel-Lucent Technologies, Manyata Technology Park, Nagawara, 560045, Bangalore, India

    Vikram Srinivasan

  5. ECE Department, Duke University, 130 Hudson Hall, Box 90291, 27708, Durham, NC, USA

    Romit Roy Choudhury

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© 2011 Springer-Verlag Berlin Heidelberg

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Sastry, S., Radeva, T., Chen, J., Welch, J.L. (2011). Reliable Networks with Unreliable Sensors. In: Aguilera, M.K., Yu, H., Vaidya, N.H., Srinivasan, V., Choudhury, R.R. (eds) Distributed Computing and Networking. ICDCN 2011. Lecture Notes in Computer Science, vol 6522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17679-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-17679-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17678-4

  • Online ISBN: 978-3-642-17679-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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