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International Symposium on Experimental Algorithms

SEA 2011: Experimental Algorithms pp 388–399Cite as

Efficient Algorithms for Distributed Detection of Holes and Boundaries in Wireless Networks

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 6630)

Abstract

We propose two novel algorithms for distributed and location-free boundary recognition in wireless sensor networks. Both approaches enable a node to decide autonomously whether it is a boundary node, based solely on connectivity information of a small neighborhood. This makes our algorithms highly applicable for dynamic networks where nodes can move or become inoperative.

We compare our algorithms qualitatively and quantitatively with several previous approaches. In extensive simulations, we consider various models and scenarios. Although our algorithms use less information than most other approaches, they produce significantly better results. They are very robust against variations in node degree and do not rely on simplified assumptions of the communication model. Moreover, they are much easier to implement on real sensor nodes than most existing approaches.

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  • DOI: 10.1007/978-3-642-20662-7_33
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Author information

Authors and Affiliations

  1. Karlsruhe Institute of Technology (KIT), Germany

    Dennis Schieferdecker, Markus Völker & Dorothea Wagner

Authors
  1. Dennis Schieferdecker
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  2. Markus Völker
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  3. Dorothea Wagner
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Editor information

Editors and Affiliations

  1. Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  2. Division of Economics and Business, Colorado School of Mines, Engineering Hall 310, 816 15th Street, 80401, Golden, CO, USA

    Steffen Rebennack

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Schieferdecker, D., Völker, M., Wagner, D. (2011). Efficient Algorithms for Distributed Detection of Holes and Boundaries in Wireless Networks. In: Pardalos, P.M., Rebennack, S. (eds) Experimental Algorithms. SEA 2011. Lecture Notes in Computer Science, vol 6630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20662-7_33

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  • DOI: https://doi.org/10.1007/978-3-642-20662-7_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20661-0

  • Online ISBN: 978-3-642-20662-7

  • eBook Packages: Computer ScienceComputer Science (R0)