Context-aware applications for mobile users represent a sizeable market for the next generation of applications. These applications consume high-level context data computed by processing and filtering numerous raw context data collected from the user environment. The software entity in charge of the gathering, the management (processing and filtering), and the presentation of the results to applications is called a context manager. It is an essential software entity to build mass market context-aware applications. Nowadays, context management solutions in ambient networks are well-known. However, in multi-scale networks (ambient, Internet, clouds) and over the Internet of things, context management becomes far more complex. It has to take into account heterogeneous context data, distribute both processing and flows of data, insure scalability, manage the quality of context for appropriate decision-making, enhance privacy of personal context data during the whole context management process, adapt context management itself to dynamic environments, and identify situations from data coming both from the Internet of things and from knowledge bases. The goal of the project INCOME is to supply methods and tools for multi-scale context management and contribute to the above mentioned issues. INCOME targets the infrastructure level for mass market context-aware applications. Those applications have to be deployed at a wide scale both in terms of the number of deployment locations and the number of users. For this kind of applications, available context data vary according to both geographical and temporal dimensions. In these conditions, autonomous deployment strategies for context management entities are essential. These strategies allow the infrastructure to automatically support the instability and openness of the environment. At the same time, they preserve both the quality of context and the context privacy. The scientific program of INCOME includes three main tasks : (i ) multi-scale context management, (ii ) management of extrafunctional concerns (quality of context and privacy), (iii ) autonomous deployment of context management entities. INCOME is a contribution in terms of generic software and middleware components to ease the design and development of mass market context-aware applications built upon the Internet of things. These components will be useful in various application domains. In this project, we will specify challenging scenarios for at least two of these domains : context-aware applications in a multi-location university campus and context-aware applications for mobile users in a large skiing domain. These scenarios will be refined all along the project and will serve as a basis for the validation of our approach.

The MIGRASENS ANR’s objective is to develop a new generation of water pollutants microsensors network based on the association of CVD graphene and Molecular Imprinted Polymer (MIP). By coupling the properties of the graphene in terms of conduction, robustness, electrochemical sensitivity and the MIP selectivity, the consortium wants to design a lab-on-chip for the detection of a wide scope of micropollutants highlighted in the Water Frameworks Directive. The ambition of this project is to go to the CVD graphene production to its integration in a multidetection lab-on-chip prototype. The success of the project relies on the complementary competencies of the consortium, which includes two societies DSA technologies (Orléans) and Annealsys (Montpellier) and two academic laboratories ICMN (Orléans) and L2C (Montpellier), will allow to have got an overall point of view. The main scientific challenge will be to optimize the electro activity of the graphene electrode by the control of the growth parameters of CVD graphene and to use it as conductive platform of the sensor.