The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.
Finally, we cite the survey "Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services" REF , which presented the current IoT technologies, approaches, and models to find out new datarelated challenges.
Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Computer Science Medicine