Abstract: In the last decade, several works proposed their own approaches about the context management for the Internet of Things (IoT). An important issue in such systems is faced by context data distribution with a sufficient level of quality i.e., Quality of Context (QoC). In this paper, a fuzzy logic-based framework is proposed which handles QoC evaluating within distributed context manager and context-aware applications. In addition, IoT contains massive context sources and data. From this issue, we use MapReduce skyline to speed up the computation and introduce parallelism in the processing. This article presents also a solutions provided by the Model Driven Approach (MDA) for modelling the captured context information from different context source.

Keywords: IoT, context manager, MDA, fuzzy logic, QoC, context source, map reduce skyline, application.

Received February 14, 2018, accepted April 17, 2018