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Engineering  2026 

Design, Assembly and Simulation of an Environmental Prototype Station IoT Based on Arduino Mega 2560 and Multiparameter Sensors

DOI: 10.4236/eng.2026.182003, PP. 30-44

Keywords: Arduino Mega 2560, Internet of Things (IoT), Environmental Sensors, LoRa, ESP-01, Low-Cost Monitoring Station

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Abstract:

Environmental monitoring is today a key challenge for public health, urban planning, and scientific research. Official monitoring stations, although highly accurate, remain expensive and difficult to deploy in developing countries. This study presents the design, assembly, and laboratory simulation of an environmental prototype station based on the Arduino Mega 2560 board and has a set of multiparameter sensors (temperature, humidity, carbon dioxide, fine particles, air pollutants, light intensity, and rainfall). The system integrates wireless communication technologies (LoRa and Wi-Fi via ESP-01), local data storage on a SD card, and real-time display through an OLED screen. The adopted methodology combines a detailed technical description of the components, optimized wiring, and has step-by-step laboratory simulation procedure. The results demonstrate the reliability of the sensors, the stability of communications, and the relevance of the proposed modular architecture. This prototype offer has a low cost and open-source solution suitable for academic contexts and urban resource-limited areas. Future improvements include the integration of solar energy sources, advanced sensor calibration, and connection to IoT platforms such as The Things Network.

References

[1]  Kashid, M., Surwase, S. and Karande, K. (2021) IoT Based Environmental Parameter Monitoring Using Machine Learning Approach—A Review. International Journal of Research Publication and Reviews, 2, 1550-1553.
[2]  Nandagiri, K. and Murthy, R. (2021) A Review on Smart Environment Monitoring Systems Using Sensors. Journal of Emerging Technologies and Innovative Research, 8, 142-145.
[3]  World Health Organization (WHO) (2024) Ambient (Outdoor) Air Pollution.
https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
[4]  IPCC (2022) Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 3056 p.
[5]  Prasad, A.N., Mamun, K.A., Islam, F.R. and Haqva, H. (2015) Smart Water Quality Monitoring System. 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Nadi, 2-4 December 2015, 1-6.
https://doi.org/10.1109/apwccse.2015.7476234
[6]  Ramprabu, J. and Paramesh, C. (2015) Automated Sensor Network for Monitoring and Detection of Impurity in Drinking Water System. International Journal for Research in Applied Science & Engineering Technology, 3, 275-280.
[7]  Pranata, A.A., Lee, J.M. and Kim, D.S. (2017). Towards an IoT-Based Water Quality Monitoring System with Brokerless Pub/Sub Architecture. 2017 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Osaka, 12-14 June 2017, 1-6.
https://doi.org/10.1109/lanman.2017.7972166
[8]  Xu, Z.F., Yang, J.J., Zhou, H. and Hou, YF. (2023) A Wireless Remote Monitoring Sensor for Agricultural Environment Based on NB-IoT. INMATEH Agricultural Engineering, 69, 285-294.
[9]  Castell, N., Dauge, F.R., Schneider, P., Vogt, M., Lerner, U., Fishbain, B., et al. (2017) Can Commercial Low-Cost Sensor Platforms Contribute to Air Quality Monitoring and Exposure Estimates? Environment International, 99, 293-302.
https://doi.org/10.1016/j.envint.2016.12.007
[10]  Ramakala, R., Thayammal, S., Ramprakash, A. and Muneeswaran, V. (2017) Impact of ICT and IOT Strategies for Water Sustainability: A Case Study in Rajapalayam-India. 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Coimbatore, 14-16 December 2017, 1-4.
https://doi.org/10.1109/iccic.2017.8524399
[11]  Zidan, N., Maree, M. and Samhan, S. (2018) An IoT Based Monitoring and Controlling System for Water Chlorination Treatment. Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, Barcelona, 27-29 August 2014, 1-6.
https://doi.org/10.1145/3231053.3231084
[12]  Jiao, W., Hagler, G., Williams, R., Sharpe, R., Brown, R., Garver, D., et al. (2016) Community Air Sensor Network (CAIRSENSE) Project: Evaluation of Low-Cost Sensor Performance in a Suburban Environment in the Southeastern United States. Atmospheric Measurement Techniques, 9, 5281-5292.
https://doi.org/10.5194/amt-9-5281-2016
[13]  Bamodu, O., Osebor, F., Xia, L., Cheshmehzangi, A. and Tang, L. (2018) Indoor Environment Monitoring Based on Humidity Conditions Using a Low-Cost Sensor Network. Energy Procedia, 145, 464-471.
https://doi.org/10.1016/j.egypro.2018.04.093
[14]  Amirgaliyev, B., Kozbakova, A., Kozbakova, A., Omarova, P., Merembayev, T., Omarova, P., et al. (2025) Development and Experimental Study of an Intelligent Water Quality Monitoring System Based on the Internet of Things. Bulletin of Electrical Engineering and Informatics, 14, 761-773.
https://doi.org/10.11591/eei.v14i1.8864
[15]  Geetha, S. and Gouthami, S. (2016) Internet of Things Enabled Real Time Water Quality Monitoring System. Smart Water, 2, Article No. 1.
https://doi.org/10.1186/s40713-017-0005-y
[16]  Nikkam, S.M.G. and Pawar, V.R. (2016) Analyzing Water Quality for Industrial Application under IoT Environment. International Research Journal of Engineering and Technology, 3, 882-885.
[17]  Pandi, A.T., Sakthi Vel, S.B., Veerappan, S., Senthil Rajan, A. and Amutha Priya, N. (2018) Multi-Sensor based Water Quality Monitoring in IoT Environment. International Research Journal of Engineering and Technology, 5, 3237-3240.
[18]  Jo, B.W., Khan, R.M.A. and Javaid, O. (2019) Arduino-Based Intelligent Gases Monitoring and Information Sharing Internet-Of-Things System for Underground Coal Mines. Journal of Ambient Intelligence and Smart Environments, 11, 183-194.
https://doi.org/10.3233/ais-190518
[19]  Xu, Y., Jin, J., Zeng, S., Zhang, Y. and Xiao, Q. (2023) Development and Evaluation of an IoT-Based Portable Water Quality Monitoring System for Aquaculture. INMATEH Agricultural Engineering, 70, 359-368.
https://doi.org/10.35633/inmateh-70-35
[20]  Rasin, Z. and Abdullah, M.R. (2009) Water Quality Monitoring System Using Zigbee Based Wireless Sensor Network. International Journal of Engineering & Technology, 9, 24-28.
[21]  Shakya, D.S. (2020) Sensor Assisted Incident Alarm System for Smart City Applications. Journal of Trends in Computer Science and Smart Technology, 2, 37-45.
https://doi.org/10.36548/jtcsst.2020.1.004
[22]  Augustin, A., Yi, J., Clausen, T. and Townsley, W. (2016) A Study of Lora: Long Range & Low Power Networks for the Internet of Things. Sensors, 16, Article 1466.
https://doi.org/10.3390/s16091466
[23]  Janhunen, J., Mikhaylov, K., Petäjäjärvi, J. and Sonkki, M. (2018) Wireless Energy Transfer Powered Wireless Sensor Node for Green IoT: Design, Implementation and Evaluation. Sensors, 19, Article 90.
https://doi.org/10.3390/s19010090
[24]  Spinelle, L., Gerboles, M., Kok, G., Persijn, S. and Sauerwald, T. (2017) Review of Portable and Low-Cost Sensors for the Ambient Air Monitoring of Benzene and Other Volatile Organic Compounds. Sensors, 17, Article 1520.
https://doi.org/10.3390/s17071520
[25]  Zimmerman, N., Presto, A.A., Kumar, S.P.N., Gu, J., Hauryliuk, A., Robinson, E.S., et al. (2018) A Machine Learning Calibration Model Using Random Forests to Improve Sensor Performance for Lower-Cost Air Quality Monitoring. Atmospheric Measurement Techniques, 11, 291-313.
https://doi.org/10.5194/amt-11-291-2018
[26]  Fedele, R. and Merenda, M. (2020) An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data. Algorithms, 13, Article 254.
https://doi.org/10.3390/a13100254
[27]  Sathish, P. and Smys, S. (2020) A Survey on Internet of Things (IoT) Based Smart Systems. Journal of ISMAC, 2, 181-189.
https://doi.org/10.36548/jismac.2020.4.001
[28]  Kumar, P., Morawska, L., Martani, C., Biskos, G., Neophytou, M., Di Sabatino, S., et al. (2015) The Rise of Low-Cost Sensing for Managing Air Pollution in Cities. Environment International, 75, 199-205.
https://doi.org/10.1016/j.envint.2014.11.019
[29]  Zheng, K., et al. (2018) High-Performance CO2 Sensor Based on a Metal-Organic Framework NDIR Detector. Sensors and Actuators B: Chemical, 260, 1-8.
[30]  Iqbal, M.U., et al. (2018) Gas Sensor Based on MQ-135 for Detection of Air Quality. Journal of Physics: Conference Series, 1028, Article ID: 012016
[31]  Sousan, S., Koehler, K., Thomas, G., Park, J.H., Hillman, M., Halterman, A., et al. (2016) Inter-comparison of Low-Cost Sensors for Measuring the Mass Concentration of Occupational Aerosols. Aerosol Science and Technology, 50, 462-473.
https://doi.org/10.1080/02786826.2016.1162901
[32]  Mukherjee, M., Kumar, A., Obaidat, M.S., Ghosh, U. and Lloret, J. (2022) Internet of Things for Smart Urban Ecosystem: Efficient Monitoring of Air Pollution Using LoRaWAN-Based Sensors. IEEE Internet of Things Journal, 9, 1442-1452.

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