APISENSE®  : une plate-forme répartie pour la conception,le déploiement et l'exécution de campagnes de collecte de données sur des terminaux intelligents

摘要

Mobile crowdsensing is a new form of data collection that takes advantage of millions smart devices already deployed throughout the world to collect massively environmental or behavioral data from a population. Recently, this type of data collection has attracted interest from a large number of industrials and academic players in many areas, such as the study of urban mobility, environmental monitoring, health or the study of sociocultural attitudes. However, mobile crowdsensing is in its early stages of development, and many challenges remain to be addressed to take full advantage of its potential. These challenges include privacy, limited energy resources of devices, development of reward and recruitment models to select appropriates mobile users and dealing with heterogeneity of mobile platforms available.In this thesis, we aim to reconsider the architectural design of current mobile crowdsensing systemsto provide a simple and effective way to design, deploy and manage data collection campaigns.The main contributions of this thesis are organize around APISENSE, the resulting platform of this research.In particular, APISENSE offers a distributed environment based on the SCA component model and software product line engineering , providing a modular and flexible environment to support a wide variety of data collection campaigns. Futhemore, APISENSE takes into account constraints, such as protecting the privacy of users or limited energy resources devices. We also propose a high-level programming model to get rid of the complexity associated with the development of mobile data collection applications.APISENSE has been used to carry out a data collection campaign deployed over hundred of users in a sociological study and evaluated through experiments demonstrating the validity, effectiveness and scalability of our solution.