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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https://hal.inria.fr/hal-01087396
Contributor : Nicolas Haderer <>
Submitted on : Wednesday, November 26, 2014 - 10:19:03 AM
Last modification on : Wednesday, December 11, 2019 - 2:48:02 PM
Long-term archiving on: Friday, February 27, 2015 - 10:57:32 AM

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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. ⟨hal-01087396⟩

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