An MQTT-Based Student Condition Monitoring System for Physical Education.

With the development of Internet of Things (IoT) technology, the wearable devices have been widely used in different fields. However, few studies have focused on the application of wearable devices and IoT technologies on student movement detection systems for Physical Education (PE). This paper mainly designs an Message Queuing Telemetry Transport (MQTT)-based student condition monitoring system for student physical status monitoring, where the network transmission from the perception layer to the application layer in a multi-user scenario is considered. The proposed system consists of a data acquisition module, a communication module for message transmission, and a data analysis module for application. The (MQTT) protocol, as a low-overhead and low-bandwidth-consumption instant messaging protocol, is applied to enable the data to be published to the application layer clients that has subscribed to the corresponding topics in real-time. During the experiment, each perception layer client publishes different amounts of data to the corresponding topics of the broker, simulating multiple users sending data to the broker, and it sends the received data to the application layer client through the data flow function. The results show that the MQTT protocol has low latency in multi-user situations. Also, MQTT is able to provide real-time and reliable messaging services to the wearable devices with minimal data volume and limited bandwidth, which reveals the feasibility of its application in smart education.