DSC 231Embedded Sensing, IOT Data Models, and Methods
Sensory data and control is mediated by devices near the edge of sensor networks, referred to as IOT (Internet of Things) devices. Components of IOT platforms: signal processing, communications/networking, control, real-time operating systems. Interfaces to cloud computing stack, publish-subscribe protocols such as MQTT, embedded software/middleware components, metadata schema, metadata normalization methods, applications in selected CPS (cyber-physical system) applications.
Prerequisites
From the catalog: “none. The class is designed for electronic enthusiasts who are quick learners on new embedded, sensor network devices. Restricted to students within the DS75 and DS76 major.”