A Cloud-Based Infrastructure for Crowdsourcing Data from Mobile Devices

Nicolas Haderer (), Fawaz Paraiso (), Christophe Ribeiro (), Philippe Merle (), Romain Rouvoy () and Lionel Seinturier ()
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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

A chapter in Crowdsourcing, 2015, pp 243-265 from Springer

Abstract: 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.

Keywords: Mobile Phone; Mobile Device; Mobile Node; Cloud Provider; Cloud Environment (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-47011-4_13

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