###### Abstract
To address this limitation and achieve greater precision, we propose the implementation of a local NTP server powered by chrony [45; 46], complemented by the incorporation of the DS3231 Real-Time Clock (RTC) module as a reliable time source. Integrating the DS3231 RTC module not only guarantees resilient timekeeping, especially during power outages but also enhances synchronization, thereby fortifying the platform's robustness and reliability. Nonetheless, a notable gap remains in the implementation of scheduled tasks to enhance the synchronous operation of sensors, as well as the development of a precise time-alignment method to ensure the reliability of acceleration time history data. Our research acknowledges the comprehensive examination of wireless network components conducted by [PERSON] et al. [44], which has contributed to advancements in the SHM applications. However, this previous work falls short in addressing the crucial aspect of transmission ability, central storage, and precise time alignment of acceleration time history data acquired from wireless sensor nodes. To emphasize the novelty of our approach within our current understanding, this article addresses the issue of time synchronization and achieving precise time alignment among wireless sensor nodes while simultaneously managing scheduled tasks across all nodes. In response, we propose an innovative method for synchronous sensing that leverages TCP/IP socket mimic broadcasting. This approach capitalizes on the Python platform running on the Raspberry Pi. Our primary goal is to improve the accuracy and reliability of synchronized measurements, thereby advancing the accessibility and scalability of structural health monitoring solutions. We implement our approach using readily available electronic components. Additionally, we aim to provide comprehensive construction and programming instructions for this technique, establishing an open-source platform conducive to continuous updates and enhancements. A key differentiator of our study from previous endeavors is the application of TCP/IP-based mimic broadcasting mechanisms for vibration-based SHM. We prioritize the effective utilization of affordable off-the-shelf sensors in this domain, rather than exclusively focusing on accuracy comparisons with high-grade accelerometers. Developed in Python, this mechanism ensures the reliability of transmitted data. Our article presents several significant contributions, including:  
* Effective scheduling and execution of measurement tasks:The proposed approach incorporates the use of multi-threading techniques during the data streaming process. The utilization of multi-threading enhances the scheduling and execution of measurement tasks, ensuring efficient data storage and management. * Synchronization mechanisms between nodes for accurate data alignment: A novel method for synchronous sensing, utilizing a mimic broadcasting mechanism, is presented to achieve the initial alignment of acceleration data from different sensor nodes. Additionally, NTP is implemented using chrony, while the DS3231 RTC module is employed to establish a temporal reference. This approach ensures the comprehensive and reliable collection of data from multiple end nodes and facilitates the initialization of a synchronized start schedule for multiple end nodes from a centralized gateway. * Scalability of the network to accommodate expanding sensor deployments: The proposed system offers a scalable solution for sensor deployments. The system allows for the flexible addition of end nodes to the network. * Seamless communication and networking capabilities: The integration of TCP/IP socket programming provides seamless communication and networking capabilities between the end nodes and the gateway. This integration ensures efficient data transmission and real-time monitoring of the sensor network. The comprehensive explanation of the implementation of socket programming is provided in detail.