## 5 Conclusions  
In conclusion, this study demonstrates the feasibility of employing TCP/IP socket programming-based mimic broadcasting with Chrony NTP synchronization in a local WSN using low-cost ADXL345 sensors. The integration of Raspberry Pi devices as sensor nodes and gateway, along with the utilization of DS3231 RTC module and Chrony NTP, enables reliable data collection and precise time alignment among the sensor nodes. The collected data from ADXL345 sensors shows stability and reliability in capturing acceleration information, and the synchronization using Chrony proves to be robust and efficient. The study also explores the application of Dynamic Time Warping (DTW) synchronization in WSNs, achieving precise synchronization among the sensor nodes. These findings have significant implications for SHM applications, as they highlight the potential of synchronization techniques and low-cost sensors in enhancing the performance and reliability of SHM wireless networks. By leveraging synchronization techniques and low-cost sensors, SHM wireless networks can be effectively deployed to investigate the structural integrity of various infrastructure systems. However, further research is needed to validate the system in real-field scenarios, explore scalability in larger networks, address environmental factors, ensure long-term stability and maintenance, and compare the proposed system with other synchronization methods. ML algorithms can be utilized to enhance the performance of low-cost sensors in the presence of environmental factors and ensure long-term stability. Additionally, considerations for data security and network protection should be taken into account in real-world applications. Conceptualization, S.N., A.T., K.K. and T.M. ; methodology, S.N., A.T., K.K. and T.M. ; software, S.N. ; validation, S.N. ; formal analysis, S.N. ; investigation, S.N., A.T., K.K. and T.M. ; resources, T.M. ; data curation, S.N. ; writing--original draft preparation, S.N. ; writing--review and editing, A.T., K.K. and T.M. ; visualization, S.N. ; supervision, A.T., K.K. and T.M. ; funding acquisition, S.N. and T.M. All authors have read and agreed to the published version of the manuscript. This research was supported by the National Electronics and Computer Technology Center (NECTEC) and National Science and Technology Development Agency (NSTDA). Not applicable. The data that support the findings of this study are available from the corresponding author upon reasonable request due to the data are part of an ongoing study. The authors would like to extend our sincere gratitude to Mizutani Laboratory at the Institute of Industrial Science, the University of Tokyo, for their invaluable support and provision of resources during the experiments of this research project. Additionally, we would like to express our appreciation to the researchers at the National Electronics and Computer Technology Center (NECTEC) for their guidance and assistance in obtaining relevant information. The authors declare no conflict of interest. [1] Initialize variables: \(t_{\text{first}}=0\), \(t_{\text{last}}=0\), \(i=0\), \(n=10\)  
[2]**for**\(j=1\) to \(n\)**do**  
[3] Connect to NTP server 'jp.pool.ntp.org'  
[4]**for**\(i=1\) to \(100\)**do**  
[5] Measure current time \(t_{\text{current}}\) from NTP server  
[6]**if**\(i=1\)**then**  
[7]\(t_{\text{first}}\gets t_{\text{current}}\)  
[8]**else if**\(i=100\)**then**  
[9]\(t_{\text{last}}\gets t_{\text{current}}\)  
[10]**endif**  
[11]**end for**  
[12] Calculate time difference: \(\Delta t=t_{\text{last}}-t_{\text{first}}\)  
[13] Format \(\Delta t\) with 5 decimal places: \(\Delta t_{\text{formatted}}=\text{`}\text{`}\text{.5f'}\text{.format}(\Delta t)\)  
[14] Display time difference for experiment \(j\): \(\Delta t_{\text{formatted}}\)  
[15]**end for**  
[16]**Time Difference of the Experiment No.