Skip to Main content Skip to Navigation
Documents associated with scientific events

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.
Document type :
Documents associated with scientific events
Complete list of metadata
Contributor : Nicolas Haderer Connect in order to contact the contributor
Submitted on : Wednesday, November 26, 2014 - 10:19:03 AM
Last modification on : Saturday, October 16, 2021 - 11:26:07 AM
Long-term archiving on: : Friday, February 27, 2015 - 10:57:32 AM


Publisher files allowed on an open archive


  • HAL Id : hal-01087396, version 1


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⟩



Les métriques sont temporairement indisponibles