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Offloading Cyber-Physical Tasks using Mobile Crowdsourcing

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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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Dates and versions

hal-01087396 , version 1 (26-11-2014)

Identifiers

  • HAL Id : hal-01087396 , version 1

Cite

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. . ⟨hal-01087396⟩
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