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Adaptive Hierarchical Network Structures for Wireless Sensor Networks

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Ad Hoc Networks (ADHOCNETS 2011)

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Abstract

Clustering is a crucial network design approach to enable large-scale wireless sensor networks (WSNs) deployments. A large variety of clustering approaches has been presented focusing on various aspect such as minimizing communication overhead, controlling the network topology etc. Simulations on such protocols are performed using theoretical models that are based on unrealistic assumptions like ideal wireless communication channels and perfect energy consumption estimations. With these assumptions taken for granted, theoretical models claim various performance milestones that cannot be achieved in realistic conditions. In this paper, we design a new clustering protocol that adapts to the changes in the environment and the needs and goals of the user applications. We provide a protocol that is deployable protocol in real WSNs. We apply our protocol in multiple indoors wireless sensor testbeds with multiple experimental scenarios to showcase scalability and trade-offs between network properties and configurable protocol parameters. By analysis of the real world experimental output, we present results that depict a more realistic view of the clustering problem, regarding adapting to environmental conditions and the quality of topology control. Our study clearly demonstrates the applicability of our approach and the benefits it offers to both research & development communities.

This work has been partially supported by the European Union under contract numbers ICT-2008-215270 (FRONTS) and ICT-2010-258885 (SPITFIRE).

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Authors and Affiliations

  1. Computer Technology Institute & Press (CTI), Patras, Greece

    Dimitrios Amaxilatis, Ioannis Chatzigiannakis, Christos Koninis, Apostolos Pyrgelis & Paul G. Spirakis

  2. Computer Engineering and Informatics Department, University of Patras, Greece

    Dimitrios Amaxilatis, Ioannis Chatzigiannakis, Christos Koninis, Apostolos Pyrgelis & Paul G. Spirakis

  3. Department of Computer Science, Ben-Gurion University of the Negev, Israel

    Shlomi Dolev

Authors
  1. Dimitrios Amaxilatis
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  2. Ioannis Chatzigiannakis
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  3. Shlomi Dolev
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  4. Christos Koninis
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  5. Apostolos Pyrgelis
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  6. Paul G. Spirakis
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Editor information

Editors and Affiliations

  1. INRIA Research Center, Lille, Université Lille 1, 59658, Villeneuve d’Ascq, France

    David Simplot-Ryl

  2. CNRS/LIP6 Laboratory, Université Pierre et Marie Curie, 75252, Paris Cedex 05, France

    Marcelo Dias de Amorim

  3. SUPSI, University of Applied Science, 6928, Manno, Switzerland

    Silvia Giordano

  4. Computer & Information Science & Engineering (CISE) Department, University of Florida, 32611, Gainesville, FL, USA

    Ahmed Helmy

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© 2012 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Amaxilatis, D., Chatzigiannakis, I., Dolev, S., Koninis, C., Pyrgelis, A., Spirakis, P.G. (2012). Adaptive Hierarchical Network Structures for Wireless Sensor Networks. In: Simplot-Ryl, D., Dias de Amorim, M., Giordano, S., Helmy, A. (eds) Ad Hoc Networks. ADHOCNETS 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29096-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-29096-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29095-4

  • Online ISBN: 978-3-642-29096-1

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