Offloading Cyber-Physical Tasks using Mobile Crowdsourcing

Abstract : Recent generations of mobile phones, embedding a wide variety of sensors, have fostered the development of open sensing applications, such as network quality or weather forecast applications. Nonetheless, critical non-functional concerns like the energy consumption or the user privacy remain poorly covered by such dedicated applications, incidentally impacting the user experience. In this paper, we introduceAPISENSE as a distributed middleware platform that leverages the dynamic deployment of crowdsourcing tasks acrossa population of mobile phones. We illustrate the originality of APISENSE on a mobile crowdsourcing experiment operated by human and social science scientists: PRACTIC.
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Documents associés à des manifestations scientifiques -- Hal-inria+
Crowdsourcing and human computation multidisciplinary workshop, Sep 2014, Auditorium Marie Curie CNRS, France. <http://www.cnrs.fr/mi/spip.php?article355>
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https://hal.inria.fr/hal-01087396
Contributeur : Nicolas Haderer <>
Soumis le : mercredi 26 novembre 2014 - 10:19:03
Dernière modification le : jeudi 22 septembre 2016 - 14:32:27
Document(s) archivé(s) le : vendredi 27 février 2015 - 10:57:32

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mastodons-apisense-14.pdf
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  • HAL Id : hal-01087396, version 1

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Nicolas Haderer, Christophe Ribeiro, Romain Rouvoy, Lionel Seinturier, Vassili Rivron. Offloading Cyber-Physical Tasks using Mobile Crowdsourcing. Crowdsourcing and human computation multidisciplinary workshop, Sep 2014, Auditorium Marie Curie CNRS, France. <http://www.cnrs.fr/mi/spip.php?article355>. <hal-01087396>

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