Crowdsourcing pp 243-265 | Cite as

A Cloud-Based Infrastructure for Crowdsourcing Data from Mobile Devices

  • Nicolas Haderer
  • Fawaz Paraiso
  • Christophe Ribeiro
  • Philippe Merle
  • Romain Rouvoy
  • Lionel SeinturierEmail author
Part of the Progress in IS book series (PROIS)


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 soCloud 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.


Mobile Phone Mobile Device Mobile Node Cloud Provider Cloud Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work is partially funded by the ANR (French National Research Agency) ARPEGE SocEDA project and the EU FP7 PaaSage project.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Nicolas Haderer
    • 1
  • Fawaz Paraiso
    • 1
  • Christophe Ribeiro
    • 1
  • Philippe Merle
    • 1
  • Romain Rouvoy
    • 1
  • Lionel Seinturier
    • 1
    Email author
  1. 1.University Lille 1 - InriaVilleneuve d’AscqFrance

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