Evaluating Ubiquitous Sensor Information Sharing on the Internet-of-Things

Next generation context-aware mobile applications will require a continuous update of relevant information about a user´s surroundings, in order to create low latency notifications and high quality of experience. Existing mobile devices already contain a large number of built in sensors which are capable of producing huge amounts of sensor data, exceeding both the capacity of the local storage and the Internet connection. Therefore, we will in this paper study the limits when sharing contextual information from mobile devices, as well as finding the impact of this information overload for the Internet-of-Things. Furthermore, we present an evaluation model for assessing the effort required to present applications with relevant context information. In conclusion, the model shows that one feasible solution for the future Internet-of-Things is a peer-to-peer based solution which can control the flow of information without any centralized authority, to circumvent earlier limitations.