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A middleware platform to support river monitoring using wireless sensor networks

Journal of the Brazilian Computer Society volume 17, pages 85–102 (2011)Cite this article

Abstract

Flooding is a critical global problem, which is growing more severe due to the effects of climate change. This problem is particularly acute in the state of São Paulo, Brazil, where flooding during the rainy season incurs significant financial and human costs. Another critical problem associated with flooding is the high level of pollution present in urban rivers. Efforts to address these problems focus upon three key research areas: river monitoring, modelling of river conditions and incident response. This paper introduces a rich next-generation middleware platform designed to support wireless sensor network based environmental monitoring along with a supporting hardware platform. This system has been deployed and evaluated in a real-world river monitoring scenario in the city of São Carlos, Brazil.

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Author information

Affiliations

  1. University of São Paulo (USP), São Carlos, 13566-585, Brazil

    Danny Hughes, Jo Ueyama & Eduardo Mendiondo

  2. Katholieke Universiteit Leuven, Leuven, 3000, Belgium

    Danny Hughes, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens & Wouter Joosen

  3. Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, 215123, China

    Danny Hughes, Ka Lok Man & Sheng-Uei Guan

Authors
  1. Danny Hughes
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  2. Jo Ueyama
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  3. Eduardo Mendiondo
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Corresponding author

Correspondence to Danny Hughes.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Hughes, D., Ueyama, J., Mendiondo, E. et al. A middleware platform to support river monitoring using wireless sensor networks. J Braz Comput Soc 17, 85–102 (2011). https://doi.org/10.1007/s13173-011-0029-3

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Keywords

  • Wireless sensor networks
  • Environmental monitoring
  • Middleware
  • Multiparadigm programming