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Discovery of Hidden Correlations between Heterogeneous Wireless Sensor Data Streams

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 8729))

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Abstract

This paper proposes a novel approach for monitoring heterogeneous wireless sensor networks and to identify hidden correlations between sensors. The technique is tested in an experimental environment based on the Building Management Framework. Results show that the proposed approach is actually capable of identifying hidden correlations, is robust to environment variations and is sensitive to sensors faults.

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Author information

Authors and Affiliations

  1. Dipartimento di Matematica e Informatica, Università della Calabria, I87036, Rende, CS, Italy

    Francesco Cauteruccio & Giorgio Terracina

  2. Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica, Università della Calabria, I87036, Rende, CS, Italy

    Giancarlo Fortino & Antonio Guerrieri

Authors
  1. Francesco Cauteruccio
  2. Giancarlo Fortino
  3. Antonio Guerrieri
  4. Giorgio Terracina

Editor information

Editors and Affiliations

  1. Department of Informatics, Modelling, Electronics and Systems (DIMES), University of Calabria (UNICAL), Rende, Italy

    Giancarlo Fortino

  2. The University of Reading, Whiteknights, Reading, RG6 6AY, Berkshire, UK

    Giuseppe Di Fatta

  3. School of Logistics Engineering, Wuhan University of Technology, Wuhan, P.R. China

    Wenfeng Li

  4. Computer Science Department, Universidad de Chile, Chile

    Sergio Ochoa

  5. ICAR-CNR and University of Calabria, Italy

    Alfredo Cuzzocrea

  6. CSIRO ICT, Center, Room # 5124, 108 North Road, Acton, ACT 2601, Australia

    Mukaddim Pathan

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Cauteruccio, F., Fortino, G., Guerrieri, A., Terracina, G. (2014). Discovery of Hidden Correlations between Heterogeneous Wireless Sensor Data Streams. In: Fortino, G., Di Fatta, G., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds) Internet and Distributed Computing Systems. IDCS 2014. Lecture Notes in Computer Science, vol 8729. Springer, Cham. https://doi.org/10.1007/978-3-319-11692-1_33

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