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Participatory Sensing, Opinions and Collective Awareness pp 115–133Cite as

Collective Sensing Platforms

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Part of the book series: Understanding Complex Systems ((UCS))

Abstract

This chapter provides an overview of web-based information and communications technology platforms that collect and display sensor based information. We focus on collective sensing platforms that allow to extend the collected sensor information, e.g., using tags or other annotations. We provide an overview on such platforms and discuss critical issues such as big data and sensor cloud storage. Furthermore, we discuss specific technological challenges, covering the complete data cycle from the smartphone application to the web system, and its effectiveness.

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Notes

  1. 1.

    http://hadoop.apache.org/.

  2. 2.

    http://hive.apache.org/.

  3. 3.

    http://hbase.apache.org/.

  4. 4.

    http://storm.apache.org/.

  5. 5.

    http://flink.apache.org/.

  6. 6.

    http://spark.apache.org/.

  7. 7.

    https://bitbucket.org/ubicon/ubicon.

  8. 8.

    http://sociopatterns.org/.

  9. 9.

    https://xively.com/.

  10. 10.

    http://airqualityegg.com/.

  11. 11.

    https://thingspeak.com/.

  12. 12.

    http://open.sen.se, accessed on 19.02.2014.

  13. 13.

    http://open.sen.se/dev/, accessed on 19.02.2014.

  14. 14.

    https://exosite.com/, accessed on 19.02.2014.

  15. 15.

    http://support.exosite.com/hc/en-us/articles/200397956, accessed on 19.02.2014.

  16. 16.

    https://github.com/exosite/api/tree/master/rpc#identifying-resources, accessed on 19.02.2014.

  17. 17.

    http://www.sensorcloud.com/.

  18. 18.

    http://www.etherios.com/products/devicecloud/.

  19. 19.

    http://www.eyeonearth.org/.

  20. 20.

    http://openiot.eu/.

  21. 21.

    https://github.com/OpenIotOrg/openiot/wiki/OpenIoT-Architecture.

  22. 22.

    https://web.fulcrumapp.com.

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Author information

Authors and Affiliations

  1. Research Center for Information System Design, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany

    Martin Atzmueller

  2. Data Mining and Information Retrieval Group, University of Wuerzburg, Am Hubland, Würzburg, Germany

    Martin Becker

  3. L3S Research Center, Appelstraße 9A, 30167, Hannover, Germany

    Martin Becker & Juergen Mueller

  4. Data Engineering Group, University of Kassel, Wilhelmshöher Allee 73, 34121, Kassel, Germany

    Juergen Mueller

Authors
  1. Martin Atzmueller
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  2. Martin Becker
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  3. Juergen Mueller
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Corresponding author

Correspondence to Martin Atzmueller .

Editor information

Editors and Affiliations

  1. Department of Physics, Sapienza University of Rome, Rome, Italy

    Vittorio Loreto

  2. Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom

    Muki Haklay

  3. Julius-Maximilians-University Würzburg , Würzburg, Germany

    Andreas Hotho

  4. Department of Physics, Sapienza University of Rome, Rome, Italy

    Vito D.P. Servedio

  5. Department of Electrical Engineering and Computer Science, University of Kassel, Kassel, Germany

    Gerd Stumme

  6. VITO—Flemish Institute for Technological Research, Mol, Belgium

    Jan Theunis

  7. Institute for Scientific Interchange Foundation, Torino, Italy

    Francesca Tria

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Atzmueller, M., Becker, M., Mueller, J. (2017). Collective Sensing Platforms. In: Loreto, V., et al. Participatory Sensing, Opinions and Collective Awareness. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-25658-0_6

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