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A Cloud-Based Infrastructure for Crowdsourcing Data from Mobile Devices

In: Crowdsourcing

Author

Listed:
  • Nicolas Haderer

    (University Lille 1 - Inria)

  • Fawaz Paraiso

    (University Lille 1 - Inria)

  • Christophe Ribeiro

    (University Lille 1 - Inria)

  • Philippe Merle

    (University Lille 1 - Inria)

  • Romain Rouvoy

    (University Lille 1 - Inria)

  • Lionel Seinturier

    (University Lille 1 - Inria)

Abstract

In the vast galaxy of crowdsourcing activities, crowd-sensing consists in using users’ cellphones for collecting large sets of data. In this chapter, we present the APISENSE distributed crowd-sensing platform. In particular, APISENSE provides a participative environment to easily deploy sensing experiments in the wild. Beyond the scientific contributions of this platform, the technical originality of APISENSE lies in its Cloud orientation, which is built on top of the soCloudSoCloud distributed multi-cloud platform, and the remote deployment of scripts within the mobile devices of the participants. We validate this solution by reporting on various crowd-sensing experiments we deployed using Android smartphones and comparing our solution to existing crowd-sensing platforms.

Suggested Citation

  • Nicolas Haderer & Fawaz Paraiso & Christophe Ribeiro & Philippe Merle & Romain Rouvoy & Lionel Seinturier, 2015. "A Cloud-Based Infrastructure for Crowdsourcing Data from Mobile Devices," Progress in IS, in: Wei Li & Michael N. Huhns & Wei-Tek Tsai & Wenjun Wu (ed.), Crowdsourcing, edition 127, pages 243-265, Springer.
    • Handle: RePEc:spr:prochp:978-3-662-47011-4_13
    DOI: 10.1007/978-3-662-47011-4_13
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