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Extracting Data from WSNs: A Data-Oriented Approach

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7200)

Abstract

The PerLa language and the related middleware have been developed to ease the task of querying heterogeneous devices in pervasive systems. This paper presents, in a detailed way, some of the main features of the PerLa language by showing how it can be applied to the wine production process.

Keywords

  • Sensor Node
  • Wireless Sensor Network
  • Network Node
  • Wine Production
  • Execution Condition

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Schreiber, F.A., Camplani, R., Rota, G. (2012). Extracting Data from WSNs: A Data-Oriented Approach. In: Anastasi, G., Bellini, E., Di Nitto, E., Ghezzi, C., Tanca, L., Zimeo, E. (eds) Methodologies and Technologies for Networked Enterprises. Lecture Notes in Computer Science, vol 7200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31739-2_18

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  • DOI: https://doi.org/10.1007/978-3-642-31739-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31738-5

  • Online ISBN: 978-3-642-31739-2

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