Mobility management in bluetooth low energy

Abstract

The potential of the artificial intelligence to build solutions based on the understanding of human behaviours, and the capacity to discover patterns through their interactions with the world is being extended with the capabilities of the Internet of Things. The described potential, so-called Human Dynamics, pursues to describe in real-time the human behaviours and activities. These goals are starting to be feasible through the quantity of data provided by two of the main areas of the Internet of Things, on the one hand, the Smart cities to make more intelligent the environment and offer a smart space that sense our movements, actions, and the evolution of the ecosystem, and on the other hand, the wearable and mobile computing which allows to provide data from the humans itself, i.e., from their pockets (smart phones), wrists (smart watches), hearts (wearable sensors), and eyes (glasses). This work analyses the ecosystem defined through the triangle formed by Big Data, Smart Cities and Wearable Computing to determinate human dynamics. For this purpose, the life-cycle of human dynamics determinations in Smart Cities have been analysed in order to determinate the current status of the technology, challenges, and opportunities.