Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing

Abstract

Ambient Assisted Living (AAL) aims providing a quality of life to elderly for sustaining their lives without constant supervision. The technology developments enabled devices with more processing power, longer battery life and more advanced sensor capabilities. Internet of Things (IoT) is a phenomenon that allows seamless interconnection of very small devices over Internet; bringing new opportunities for AAL solutions. AAL systems equipped with IoT devices will generate vast amount of data in short time, thus a big data problem to mangle. This study proposes a simulation infrastructure that allows researchers to create their own AAL scenarios without real devices, and a system architecture to tackle the big data problem that is inferred by utilization of IoT in AAL systems. In order to understand feasibility of the architecture we conduct a performance experiment, in which we increase the number of messages that the system can handle per second. The resulst of the experiment are promising.