Towards Efficient Gateways and Servers for Biosensors.

Smart E-health biosensors in wearable and mobile devices form an increasing technology trend. In most solutions, patient data is initially transmitted over Bluetooth to a gateway that in turn connects to a remote file server (or cloud). In this work, we focus on enhancing the performance of biosensor data flows across a Bluetooth-to-Ethernet gateway by examining lock-free concurrent queues and traditional lock-based circular FIFOs that embody single-producer single-consumer principles. Our results show that for large biosensor rates, the waiting time of the concurrent queue is smaller. Large rates, above 256 pulses/s, are not supported by the biosensor, but are examined through a self-similar, digital twin process. Finally, by considering a soft real-time analysis and animation application at the server, we explore interesting security vs QoS tradeoffs, leveraging the use of inexpensive crypto ICs.