Real-time monitoring for sport and mental health prevention of college student based on wireless sensor network

Abstract

This article uses wireless sensor network technology to freely combine multiple sensor nodes to achieve, but the scale and capacity of WSN internal nodes are limited, so it is easier to encounter a series of network attacks and security threats. When setting the access protocol, the protocol needs to identify the precautions for malicious attacks against the network, and at the same time try to achieve a balance between network weights to improve the life cycle of the network. This paper presents a multi-station basis for a wireless sensor connection system. The design uses elliptic curve encryption technology to ensure the security of identification between the base station and the cluster head, and uses blockchain technology to ensure the security and efficiency of the ID card between the base station and the terminal. And design a real-time monitoring system through wireless sensor network to monitor the sport and mental health of students. We have analyzed the system demand information of college students' sport and mental health, and analyzed the problems that the system needs to solve in detail. Through in-depth analysis of the sport and mental health information system, using wireless sensor network technology, we conducts a thorough investigation of the needs of the student sport and mental health system. Then we conduct an in-depth analysis of the system structure, architecture design, business model, available system, database system, to make the system more acceptable to people.