TY - GEN
T1 - Setup of a distributed sensor network for acquiring environmental data
AU - Wiora, Alicja
AU - Wiora, Józef
N1 - Publisher Copyright:
© Metrology and Digital Transformation - M4DConf 2025.All rights reserved.
PY - 2025
Y1 - 2025
N2 - – This study presents the application of an Internet of Things (IoT)-based system for environmental data acquisition in a scientific research setting. The system comprises a network of 12 sensor nodes and a central server. Each node is built around a D1 Mini module, which collects data from an attached sensor and transmits the measurements to the server via web requests. A server-side script processes these requests and stores the data in structured text files. The collected data can be analysed either in real time during the experiment or retrospectively. To ensure durability and reliability in outdoor conditions, all sensor nodes are enclosed in protective housings. This work highlights the practicality, cost-effectiveness, and efficiency of a custom-designed, application-specific IoT measurement system, demonstrating its suitability for rapid deployment in environmental monitoring applications.
AB - – This study presents the application of an Internet of Things (IoT)-based system for environmental data acquisition in a scientific research setting. The system comprises a network of 12 sensor nodes and a central server. Each node is built around a D1 Mini module, which collects data from an attached sensor and transmits the measurements to the server via web requests. A server-side script processes these requests and stores the data in structured text files. The collected data can be analysed either in real time during the experiment or retrospectively. To ensure durability and reliability in outdoor conditions, all sensor nodes are enclosed in protective housings. This work highlights the practicality, cost-effectiveness, and efficiency of a custom-designed, application-specific IoT measurement system, demonstrating its suitability for rapid deployment in environmental monitoring applications.
KW - CO2
KW - ESP8266
KW - IoT
KW - particulate matter
UR - https://www.scopus.com/pages/publications/105034132808
U2 - 10.21014/tc6-2025.025
DO - 10.21014/tc6-2025.025
M3 - Conference contribution
AN - SCOPUS:105034132808
T3 - 2025 IMEKO TC-6 International Conference on Metrology and Digital Transformation, M4DConf 2025
SP - 134
EP - 138
BT - 2025 IMEKO TC-6 International Conference on Metrology and Digital Transformation, M4DConf 2025
PB - International Measurement Confederation (IMEKO)
T2 - 2nd IMEKO TC-6 International Conference on Metrology and Digital Transformation, M4DConf 2025
Y2 - 3 September 2025 through 5 September 2025
ER -