Optimization of Sports Training Systems Based on Wireless Sensor Networks Algorithms

This paper aims to design and optimize a sports training system through wireless sensor network technology, which mainly includes a hardware system and software system. In the hardware system, the design of sensor nodes and the base station is realized, which can realize the real-time collection of movement parameters by the movement collectors. In the software system, the design of base station control, node control, and motion database software is realized, which can effectively collect, store, and analyze the motion parameters. Finally, the wireless sensor network-based sports training system is tested, and the test results show that the system designed in this paper can meet the needs of sports training use. The inertial measurement unit in the wearable device is used to collect the data generated by the human body during exercise, and low-power Bluetooth is used as the data transmission protocol between the wearable device and the smartphone. The server side provides computing resources in the form of cloud computing to achieve client-server interaction. In combination with the idea of service containerization, a deployment scheme for cloud services was proposed using container choreography, and compared to the pre-training period, the subjects’ trunk sway in the front and back directions decreased by 60.5% and 54.0%, and the trunk sway in the left and right directions decreased by 67.1% and 50.3% during and after training, respectively, and the ratio of time occupied by the equilibrium state increased by 63.5% and 47.4%, subjects’ balance was effectively improved.