%0 Conference Proceedings
%T Dynamic Deployment of Sensing Experiments in the Wild Using Smartphones
%+ Adaptive Distributed Applications and Middleware (ADAM)
%+ Laboratoire d'Informatique Fondamentale de Lille (LIFL)
%+ Université de Lille, Sciences et Technologies
%+ Institut universitaire de France (IUF)
%A Haderer, Nicolas
%A Rouvoy, Romain
%A Seinturier, Lionel
%Z Part 1: Full Research Papers
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th International IFIP Conference on Distributed Applications and Interoperable Systems (DAIS)
%C Florence, Italy
%Y Jim Dowling
%Y François Taïani
%I Springer
%3 Distributed Applications and Interoperable Systems
%V LNCS-7891
%P 43-56
%8 2013-06-03
%D 2013
%R 10.1007/978-3-642-38541-4_4
%Z Computer Science [cs]
%Z Computer Science [cs]/Hardware Architecture [cs.AR]Conference papers
%X While scientific communities extensively exploit simulations to validate their theories, the relevance of their results strongly depends on the realism of the dataset they use as an input. This statement is particularly true when considering human activity traces, which tend to be highly unpredictable. In this paper, we therefore introduce APISENSE, a distributed crowdsensing platform for collecting realistic activity traces. In particular, APISENSE provides to scientists a participative platform to help them to easily deploy their sensing experiments in the wild. Beyond the scientific contributions of this platform, the technical originality of APISENSE lies in its Cloud orientation and the dynamic deployment of scripts within the mobile devices of the participants.We validate this platform by reporting on various crowdsensing experiments we deployed using Android smartphones and comparing our solution to existing crowdsensing platforms.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-00804114/document
%2 https://inria.hal.science/hal-00804114/file/APISENSE-DAIS13.pdf
%L hal-00804114
%U https://inria.hal.science/hal-00804114
%~ UNIV-LILLE3
%~ CNRS
%~ INRIA
%~ INRIA-LILLE
%~ LIFL
%~ INRIA_TEST
%~ TESTALAIN1
%~ IFIP-LNCS
%~ IFIP
%~ INRIA2
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-DAIS
%~ IFIP-DISCOTEC
%~ IFIP-LNCS-7891