Wireless Sensor Networks (WSNs) exhibit a plethora of applications in the domains of monitoring and tracking. These networks typically comprise numerous sensor nodes in conjunction with a Sink. Challenges and attributes such as complex organization and management, dynamic network topology, elevated node density, excessive redundant data, limited scalability, constrained resources, security vulnerabilities, and errant node behavior substantially impair their overall efficiency. A viable resolution to these challenges is the implementation of trust-based clustering through the utilization of a Trust Management System (TMS). So, this paper proposes a trust-based clustering algorithm for homogeneous WSNs, called TSC-WSN. In TSC-WSN, the trustworthiness of the nodes constitutes the primary criterion in the clustering procedure; it enhances the collaboration among the nodes and fortifies the security of the Wireless Sensor Network (WSN). TSC-WSN is distinct from other clustering schemes concerning the criteria and procedures utilized for calculating and predicting the trustworthiness of nodes, electing the cluster heads, and forming the clusters. Finally, the performance of TSC-WSN is compared to the performance of Zhao et al. and Zeng et al. clustering algorithms; the results derived from simulations and statistical analysis indicate that TSC-WSN is improved in the domains of accuracy regarding the identification of untrusted nodes, scalability, fault tolerance, and the mean of packet loss rate.