Context-Awareness: A Survey on Internet of Things

Abstract

As we progress into the Internet of Things (IoT), the amount of sensors installed across the planet is rising at a fast rate. Market research has shown a substantial rise in sensor installations during the last decade and has expected a significant increase in the growth rate in the future. These sensors constantly produce massive quantities of data. However, we need to consider this in order to add meaning to the raw sensor results. Collection, modelling, logic and dissemination of meaning in relation to sensor data play a critical role in this task. Context-aware computation has proved to be effective in the interpretation of sensor data. In this article, we're looking at background understanding from an IoT viewpoint. Introducing the IoT framework and context-conscious basics at the outset, we provide the requisite history. Then we have an in-depth study of the life cycle of the background. We assess a subset of ventures (50) that constitute the plurality of research and commercial solutions proposed in the field of context-conscious computing during the last decade (2001–2011) centered on our own taxonomy. Finally, based on our appraisal, we illustrate the lessons to be gained from the past and some potential paths for future study. The survey covers a wide variety of approaches, processes, templates, functionalities, structures, implementations and middleware technologies relevant to context and IoT understanding. Our aim is not only to evaluate, compare and consolidate past research work, but also to appreciate their conclusions and to address their applicability to IoT.