Offloading Cyber-Physical Tasks using Mobile Crowdsourcing

Nicolas Haderer (1, 2, 3) , Christophe Ribeiro (2) , Romain Rouvoy (2, 3, 1) , Lionel Seinturier (2, 3, 1, 4) , Vassili Rivron (5)

1 LIFL - Laboratoire d'Informatique Fondamentale de Lille
2 SPIRALS - Self-adaptation for distributed services and large software systems
3 Université de Lille, Sciences et Technologies
4 IUF - Institut universitaire de France
5 MADYNES - Management of dynamic networks and services

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.

Mots clés: crowdsensing; mobile crowdsourcing

Domaines: Informatique mobile

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⟩