Efficient IoT data aggregation for connected health applications

The Internet of Things (IoT) ecosystem, is constantly growing and attracting interest for next generation information and communication infrastructures. In this paper we focus on the exploitation of IoT platforms for remote healthcare status monitoring within the context of the so called connected health applications. In this context users and most importantly healthcare service providers and first responders may have remote access to sensor data collected from devices attached to persons with special needs or under monitoring. The efficient interconnection of medical sensors, aggregation of data towards distant datacenters and backend services requires the implementation of appropriate protocol stacks. In this paper we benchmark different IoT protocol stacks for sensor data aggregation. Specifically, we evaluate IEEE 11073 medical data transport over TCP and UDP based connections exploiting the CoAP and MQTT protocols proposed for IoT data encapsulation and client server interconnection.