Real-Time Distributed Sensor-Assisted mHealth Applications on the Internet-of-Things

Existing sensor-assisted mHealth applications would benefit from large-scale sharing of sensor information in real-time. Existing communication solutions are however limited in this respect, because of centralized application-level communication. In response to this, we presents a distributed communication solution for mHealth applications which circumvents these limitations. Our Internet-of-Things architecture enables mHealth applications to utilize information from sensors and wireless sensor networks via a peer-to-peer overlay, where sensor information is organized in an information model which is stored in the overlay itself. We present a proof-of-concept application and evaluation results regarding the architecture's real-time capabilities. The results indicate that a fully distributed architecture can support real-time sensing in mHealth applications and the support is available as an open source platform, MediaSense. Current work is focused on evaluating scalability in very large scale scenarios using field trials.