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Recruitment Framework for Participatory Sensing Data Collections

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Pervasive Computing (Pervasive 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6030))

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Abstract

Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types (image, audio, and location). The adoption of these increasingly capable devices by society has enabled a potentially pervasive sensing paradigm - participatory sensing. A coordinated participatory sensing system engages individuals carrying mobile phones to explore phenomena of interest using in situ data collection. For participatory sensing to succeed, several technical challenges need to be solved. In this paper, we discuss one particular issue: developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits. This recruitment system is evaluated through a series of pilot data collections where volunteers explored sustainable processes on a university campus.

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Author information

Authors and Affiliations

  1. Center for Embedded Networked Sensing, University of California at Los Angeles, USA

    Sasank Reddy, Deborah Estrin & Mani Srivastava

Authors
  1. Sasank Reddy
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  2. Deborah Estrin
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  3. Mani Srivastava
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Editor information

Editors and Affiliations

  1. Helsinki Institute for Information Technology – HIIT, Department of Computer Science,, University of Helsinki, P.O. Box 68, 00014, Finland

    Patrik Floréen

  2. German Research Center for Artificial Intelligence (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Antonio Krüger

  3. Nokia Research Center, Palo Alto, CA, USA

    Mirjana Spasojevic

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© 2010 Springer-Verlag Berlin Heidelberg

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Reddy, S., Estrin, D., Srivastava, M. (2010). Recruitment Framework for Participatory Sensing Data Collections. In: Floréen, P., Krüger, A., Spasojevic, M. (eds) Pervasive Computing. Pervasive 2010. Lecture Notes in Computer Science, vol 6030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12654-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-12654-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12653-6

  • Online ISBN: 978-3-642-12654-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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