SpringerBriefs in Computer Science

Data Mining Techniques in Sensor Networks

Summarization, Interpolation and Surveillance

Authors: Appice, A., Ciampi, A., Fumarola, F., Malerba, D.

  • Introduces the trend cluster, a recently defined spatio-temporal pattern, and its use in summarizing, interpolating and identifying anomalies in sensor networks
  • Illustrates the application of trend cluster discovery to monitor the efficiency of photovoltaic power plants
  • Discusses new possibilities for surveillance enabled by recent developments in sensing technology
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  • ISBN 978-1-4471-5454-9
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Softcover $54.99
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About this book

Sensor networks comprise of a number of sensors installed across a spatially distributed network, which gather information and periodically feed a central server with the measured data. The server monitors the data, issues possible alarms and computes fast aggregates. As data analysis requests may concern both present and past data, the server is forced to store the entire stream. But the limited storage capacity of a server may reduce the amount of data stored on the disk. One solution is to compute summaries of the data as it arrives, and to use these summaries to interpolate the real data. This work introduces a recently defined spatio-temporal pattern, called trend cluster, to summarize, interpolate and identify anomalies in a sensor network. As an example, the application of trend cluster discovery to monitor the efficiency of photovoltaic power plants is discussed. The work closes with remarks on new possibilities for surveillance enabled by recent developments in sensing technology.

Table of contents (5 chapters)

  • Sensor Networks and Data Streams: Basics

    Appice, Annalisa (et al.)

    Pages 1-8

  • Geodata Stream Summarization

    Appice, Annalisa (et al.)

    Pages 9-48

  • Missing Sensor Data Interpolation

    Appice, Annalisa (et al.)

    Pages 49-71

  • Sensor Data Surveillance

    Appice, Annalisa (et al.)

    Pages 73-88

  • Sensor Data Analysis Applications

    Appice, Annalisa (et al.)

    Pages 89-102

Buy this book

eBook $39.99
price for USA (gross)
  • ISBN 978-1-4471-5454-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $54.99
price for USA
  • ISBN 978-1-4471-5453-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining Techniques in Sensor Networks
Book Subtitle
Summarization, Interpolation and Surveillance
Authors
Series Title
SpringerBriefs in Computer Science
Copyright
2014
Publisher
Springer-Verlag London
Copyright Holder
The Author(s)
eBook ISBN
978-1-4471-5454-9
DOI
10.1007/978-1-4471-5454-9
Softcover ISBN
978-1-4471-5453-2
Series ISSN
2191-5768
Edition Number
1
Number of Pages
XIII, 105
Number of Illustrations and Tables
2 b/w illustrations, 37 illustrations in colour
Topics