In today's society, there are more and more psychological problems among college students, and the main source is no longer purely from academic pressure, society, parents and other aspects. As a result, more and more college students are facing mental health problems, and the lack of better mediation of mental health problems has exacerbated this phenomenon. The purpose of this article is to explore the management model of college students' mental health. For this reason, this paper proposes to monitor the mental health of college students through the use of wireless sensor networks. A trust model is established for analysis, and the sensor node structure is re-arranged to ensure the stable operation of the wireless sensor network and the reliability of the monitoring results. At the same time, experiments are designed to explore the mental health of college students. The experimental results of this paper show that the newly deployed wireless sensor network can increase the monitoring efficiency of the existing sensor network by 31%, which can greatly improve the monitoring of college students' mental health and help them solve related psychological problems.

Peng Wang, Dan Li, Xiangyin Meng. The Management Mode of College Students' Mental Health Based on Wireless Sensor Network. International Journal of Frontiers in Sociology (2022), Vol. 4, Issue 2: 61-75. https://doi.org/10.25236/IJFS.2022.040212.

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