# Noise Impact Analysis of School Environments Based on the Deployment of IoT Sensor Nodes
## 4 Discussion  
The total cost for the construction of the IoT stations by using off-the-shelf components was approximately EUR 700, a low-cost construction that required trimming in order to work properly and accurately. On the contrary, the implemented IoT platform was based on open-source solutions. The whole IoT infrastructure that was designed and deployed could be part of a pilot application operating in parallel with the similar work carried out in other regions of Greece [6], suitable for training, research, and technology workshops at all levels of education. It can be easily implemented and reproduced in both primary and academic education environments. Much and various research could be performed on the working conditions of teachers and students and how noise levels affect their health \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Index** & **Hourly Intervals** & **Median** & **Std** \\ \hline
1 & 08:00–09:00 & 40.72 & 15.29 \\
2 & 09:00–10:00 & 43.56 & 15.81 \\
3 & 10:00–11:00 & 66.21 & 17.19 \\
4 & 11:00–12:00 & 73.05 & 14.85 \\
5 & 12:00–13:00 & 74.98 & 13.55 \\
6 & 13:00–14:00 & 74.45 & 13.25 \\ \hline \hline \end{tabular}
\end{table} 
Table 12: The intensity of noise per hour. and performance. In general, it could further explore whether the learning process and school productivity could also be affected. The statistics developed in this work are a small example of a research approach. Furthermore, Table 13 summarizes and compares the associated results presented in [4; 5; 6] regarding noise level measurements in Greek schools with the findings of the current study. Our results complement previous studies and highlight the urgent need for substantial reforms inside school buildings. Specifically, it is shown that although the improvements to the buildings were made, the problem persists indoors, and similarly, the sound level increases towards the end of the school day. This impacts teachers' performance during their rest time in breaks. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multicolumn{2}{c}{**Comparison of Key Points Between Studies in [4; 5; 6] and the Current Work**} \\ \hline
**Key Point** & [4] & [5] & [6] & **This Work** \\ \hline \multirow{4}{*}{_Goal_} & Noise level & Noise levels in & Indoor noise & \\  & during lesson & socioeconomically vulnerable & levels in Greek & \\  & time in Ioannina, & scocioeconomici & school & Noise during \\  & time in Ioannina, & cally vulnerable & buildings & breaks in \\  & Greece & areas of Attica, & using IoT & Larissa, Greece \\  & & Greece & & \\ \hline \multirow{4}{*}{_Period of study_ execution_} & Single school & Single school & \\  & day for each & day for each & day for each & February 2016 & 2 April 2024–25 \\  & school between & school in May & to May 2019 & April 2024 \\  & 1/6/2009 & 2017 & & \\ \hline \multirow{4}{*}{_Number of Schools_} & 21 public & & & \\  & elementary & & 4 public & \\  & schools, & 12 public & elementary & school and \\  & 9 kindergartens, & elementary & schools & 1 junior high & 1 senior high \\  & and 2 special & schools & school & school \\  & (41 classrooms) & & & \\ \hline \multirow{4}{*}{_Building Condition_} & Non-explicitly & & & \\  & reported (The & & & \\  & presence of & double-glazed & Buildings with & Renovated— \\  & windows in & poor sound & energy \\  & some schools is & insulation and & Not provided & upgraded and \\  & reported without & outdated & thermally \\  & details about the & infrastructure & insulated \\  & buildings’ & & & \\  & conditions) & & & \\ \hline \multirow{4}{*}{_Sensor_} & 3 sound level & Traditional & & \\  & meters with & calibrated sound & & \\  & tripods— & level meters & Low-cost & Low-cost \\  & manually taken & with & sensors & sensors \\ \cline{1-1}  & measurements & measurements & & \\ \cline{1-1}  & & taken manually & & \\ \hline \hline \end{tabular}
\end{table} 
Table 13: Summary of the comparison.