Research Article
Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing
@INPROCEEDINGS{10.1007/978-3-319-51234-1_14, author={Koray İn\`{e}ki and Mehmet Aktaş}, title={Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing}, proceedings={Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, V\aa{}ster\ae{}s, Sweden, October 18-19, 2016, Revised Selected Papers}, proceedings_a={HEALTHYIOT}, year={2017}, month={1}, keywords={Ambient-Assisted Living Internet of Things Big data Kafka Complex-event processing Stream processing}, doi={10.1007/978-3-319-51234-1_14} }- Koray İnçki
Mehmet Aktaş
Year: 2017
Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-51234-1_14
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.