Development and Analysis of Low-Cost IoT Sensors for Urban Environmental Monitoring

  • Ionut Muntean
  • George Dan Mois
  • Silviu Corneliu Folea

Abstract

The accelerated pace of urbanization is having a major impact over the world’s environment. Although urban dwellers have higher living standards and can access better public services as compared to their rural counterparts, they are usually exposed to poor environmental conditions such as air pollution and noise. In order for municipalities and citizens to mitigate the negative effects of pollution, the monitoring of certain parameters, such as air quality and ambient sound levels, both in indoor and outdoor locations, has to be performed. The current paper presents a complete solution that allows the monitoring of ambient parameters such as Volatile Organic Compounds, temperature, relative humidity, pressure, and sound intensity levels both in indoor and outdoor spaces. The presented solution comprises of low-cost, easy to deploy, wireless sensors and a cloud application for their management and for storing and visualizing the recorded data.

References

[1] Aernouts, M., Lemic, F., Moons, B., Famaey, J., Hoebeke, J., Weyn, M., and Berkvens, R. (2020). A multimodal localization framework design for iot applications. Sensors, 20(16).
https://doi.org/10.3390/s20164622

[2] Aldelaimi, M. N., Hossain, M. A., and Alhamid, M. F. (2020). Building dynamic communities of interest for internet of things in smart cities. Sensors, 20(10).
https://doi.org/10.3390/s20102986

[3] Arroyo, P., Herrero, J. L., Suárez, J. I., and Lozano, J. (2019). Wireless sensor network combined with cloud computing for air quality monitoring. Sensors, 19(3).
https://doi.org/10.3390/s19030691

[4] Astudillo, G. D., Garza-Castañon, L. E., and Minchala Avila, L. I. (2020). Design and evaluation of a reliable low-cost atmospheric pollution station in urban environment. IEEE Access, 8:51129- 51144.
https://doi.org/10.1109/ACCESS.2020.2980736

[5] Bosch Sensortec GmbH (2017). BME680 Low power gas, pressure, temperature & humidity sensor. Bosch Sensortec GmbH, Reutlingen, Germany, 1.0 edition. https://ae-bst.resource.bosch. com/media/_tech/media/datasheets/BST-BME680-DS001.pdf.

[6] Carminati, M., Turolla, A., Mezzera, L., Di Mauro, M., Tizzoni, M., Pani, G., Zanetto, F., Foschi, J., and Antonelli, M. (2020). A self-powered wireless water quality sensing network enabling smart monitoring of biological and chemical stability in supply systems. Sensors, 20(4).
https://doi.org/10.3390/s20041125

[7] Committee on Environment, Natural Resources, and Sustainability OF THE NATIONAL SCIENCE AND TECHNOLOGY COUNCIL (2013). Air quality observation systems in the united states. Technical report, The National Science and Technology Council.

[8] Cruz Caminha, P. H., De Souza Couto, R., Maciel Kosmalski Costa, L. H., Fladenmuller, A., and Dias de Amorim, M. (2018). On the coverage of bus-based mobile sensing. Sensors, 18(6).
https://doi.org/10.3390/s18061976

[9] Cvar, N., Trilar, J., Kos, A., Volk, M., and Stojmenova Duh, E. (2020). The use of iot technology in smart cities and smart villages: Similarities, differences, and future prospects. Sensors, 20(14).
https://doi.org/10.3390/s20143897

[10] Doering, M. (2011). High-resolution large-scale air pollution monitoring: approaches and challenges. In Proceedings of the 3rd ACM international workshop on MobiArch, HotPlanet '11, pages 5-10, New York, NY, USA. ACM.
https://doi.org/10.1145/2000172.2000177

[11] Espressif Inc. (2020). ESP32 Series Datasheet. Espressif Inc., Shanghai , China. Version 3.3.

[12] European Environment Agency (2017). European air quality index: current air quality information at your finger tips. https://www.eea.europa.eu/highlights/ european-air-quality-index-current. Accessed 30.03.2020.

[13] European Environment Agency (2019a). Air quality in europe - 2019 report. Technical Report 10/2019, European Environment Agency, Copenhagen, Denmark.

[14] European Environment Agency (2019b). The first and last mile - the key to sustainable urban transport: Transport and environment report 2019. Technical Report 18/2019, European Environment Agency, Copenhagen, Denmark.

[15] European Space Agency (2020). Coronavirus lockdown leading to drop in pollution across europe. https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-5P/-low-cost-sensors. Accessed: 01.04.2020.

[16] European Union (2002). Directive 2002/49/ec of the european parliament and of the council of 25 june 2002 relating to the assessment and management of environmental noise. Official Journal of the European Union, L 189.

[17] European Union (2008). Directive 2008/50/ec of the european parliament and of the council of 21 may 2008 on ambient air quality and cleaner air for europe. Official Journal of the European Union, L 152.

[18] Folea, S., Hulea, M., and Ursutiu, D. (2012). Tag4M, An Ultra-Low Power Wi-Fi Embedded System for Measurements, pages 227-256. CRC Press.

[19] Gryech, I., Ben-Aboud, Y., Guermah, B., Sbihi, N., Ghogho, M., and Kobbane, A. (2020). Moreair: A low-cost urban air pollution monitoring system. Sensors, 20(4).
https://doi.org/10.3390/s20040998

[20] Holman, C. (1999). 8 - sources of air pollution. In Holgate, S. T., Samet, J. M., Koren, H. S., and Maynard, R. L., editors, Air Pollution and Health, pages 115 - 148. Academic Press, London.
https://doi.org/10.1016/B978-012352335-8/50083-1

[21] Huang, J., Duan, N., Ji, P., Ma, C., f. hu, Ding, Y., Yu, Y., Zhou, Q., and Sun, W. (2019). A crowdsource-based sensing system for monitoring fine-grained air quality in urban environments. IEEE Internet of Things Journal, 6(2):3240-3247.
https://doi.org/10.1109/JIOT.2018.2881240

[22] Ikpehai, A., Adebisi, B., Rabie, K. M., Anoh, K., Ande, R. E., Hammoudeh, M., Gacanin, H., and Mbanaso, U. M. (2019). Low-power wide area network technologies for internet-of-things: A comparative review. IEEE Internet of Things Journal, 6(2):2225-2240.
https://doi.org/10.1109/JIOT.2018.2883728

[23] InvenSense,Inc. (2016). ICS-43432 Low-Noise Microphone with I2S Digital Output. InvenSense, Inc., San Jose, California, US. Rev. 1.3.

[24] Javed, F., Afzal, M. K., Sharif, M., and Kim, B. (2018). Internet of things (iot) operating systems support, networking technologies, applications, and challenges: A comparative review. IEEE Communications Surveys Tutorials, 20(3):2062-2100.
https://doi.org/10.1109/COMST.2018.2817685

[25] Jensen, S. S., Ketzel, M., Becker, T., Christensen, J., Brandt, J., Plejdrup, M., Winther, M., Nielsen, O.-K., Hertel, O., and Ellermann, T. (2017). High resolution multi-scale air quality modelling for all streets in denmark. Transportation Research Part D: Transport and Environment, 52:322 - 339.
https://doi.org/10.1016/j.trd.2017.02.019

[26] Kantarci, B. and Oktug, S. F. (2018). Special issue: Wireless sensor and actuator networks for smart cities. Journal of Sensor and Actuator Networks, 7(4).
https://doi.org/10.3390/jsan7040049

[27] Kolumban-Antal, G., Lasak, V., Bogdan, R., and Groza, B. (2020). A secure and portable multi-sensor module for distributed air pollution monitoring. Sensors, 20(2).
https://doi.org/10.3390/s20020403

[28] Koziol, M. (2020). Indoor air-quality monitoring can allow anxious office workers to breathe easier. IEEE Spectrum.

[29] Kumar, P., Morawska, L., Martani, C., Biskos, G., Neophytou, M., Di Sabatino, S., Bell, M., Norford, L., and Britter, R. (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

[30] Lozano-Garzon, C., Montoya, G. A., and Donoso, Y. (2020). A green routing mathematical model for iot networks in critical energy environments. International Journal of Computers Communications & Control, 15(4).
https://doi.org/10.15837/ijccc.2020.4.3914.
https://doi.org/10.15837/ijccc.2020.4.3914

[31] Ma, Q., Gao, L., Liu, Y., and Huang, J. (2018). Incentivizing wi-fi network crowdsourcing: A contract theoretic approach. IEEE/ACM Transactions on Networking, 26(3):1035-1048.
https://doi.org/10.1109/TNET.2018.2812785

[32] Mayer, H. (1999). Air pollution in cities. Atmospheric Environment, 33(24):4029 - 4037.
https://doi.org/10.1016/S1352-2310(99)00144-2

[33] Michel, G., Laurent, S., and Annette, B. (2017). Measuring air pollution with low-cost sensors. European Commission. https://ec.europa.eu/jrc/en/publication/brochures-leaflets/ measuring-air-pollution-low-cost-sensors.

[34] Mois, G., Folea, S., and Sanislav, T. (2017a). Analysis of three iot-based wireless sensors for environmental monitoring. IEEE Transactions on Instrumentation and Measurement, 66(8):2056- 2064.
https://doi.org/10.1109/TIM.2017.2677619

[35] Mois, G., Szilagyi, Z., Sanislav, T., and Folea, S. (2017b). An http-based environmental monitoring system using power harvesting. In 2017 21st International Conference on System Theory, Control and Computing (ICSTCC), pages 845-848.
https://doi.org/10.1109/ICSTCC.2017.8107142

[36] Motlagh, N. H., Lagerspetz, E., Nurmi, P., Li, X., Varjonen, S., Mineraud, J., Siekkinen, M., Rebeiro-Hargrave, A., Hussein, T., Petaja, T., Kulmala, M., and Trachoma, S. (2020). Toward massive scale air quality monitoring. IEEE Communications Magazine, 58(2):54-59.
https://doi.org/10.1109/MCOM.001.1900515

[37] Mumovic, D., Chatzidiakou, L., Williams, J. J., and Burman, E. (2018). Indoor air quality in london's schools. Technical report, UCL Institute for Environmental Design and Engineering. Report commisioned by Greater London Authority.

[38] Munir, S., Mayfield, M., Coca, D., Mihaylova, L. S., and Osammor, O. (2020). Analysis of air pollution in urban areas with airviro dispersion model-a case study in the city of sheffield, united kingdom. Atmosphere, 11(285).
https://doi.org/10.3390/atmos11030285

[39] Office of Air Quality Planning and Standards - Air Quality Assessment Division (2018). Technical assistance document for the reporting of daily air quality - the air quality index (aqi). Technical Report EPA-454/B-18-007, U.S. Environmental Protection Agency, Research Triangle Park, NC.

[40] Özbilge, E., Kırsal, Y., and Çaglar, E. (2020). Modelling and analysis of iot technology using neu-ral networks in agriculture environment. International Journal of Computers Communications & Control, 15(3).
https://doi.org/10.15837/ijccc.2020.3.3885.
https://doi.org/10.15837/ijccc.2020.3.3885

[41] Popoola, O. A., Carruthers, D., Lad, C., Bright, V. B., Mead, M. I., Stettler, M. E., Saffell, J. R., and Jones, R. L. (2018). Use of networks of low cost air quality sensors to quantify air quality in urban settings. Atmospheric Environment, 194:58 - 70.
https://doi.org/10.1016/j.atmosenv.2018.09.030

[42] Ramsay, D. B., Paradiso, J. A., and Hamburg, S. (2018). Making air (quality) visible: Exploiting new technology to dramatically improve atmospheric monitoring. IEEE Pervasive Computing, 17(3):90-94.
https://doi.org/10.1109/MPRV.2018.03367741

[43] Samad, A., Melchor Mimiaga, F. E., Laquai, B., and Vogt, U. (2021). Investigating a low-cost dryer designed for low-cost pm sensors measuring ambient air quality. Sensors, 21(3).
https://doi.org/10.3390/s21030804

[44] Simo, A., Dzitac, S., Frigura-Iliasa, F. M., Musuroi, S., Andea, P., and Meianu, D. (2020). Technical solution for a real-time air quality monitoring system. International Journal of Computers Communications & Control, 15(4).
https://doi.org/10.15837/ijccc.2020.4.3891.
https://doi.org/10.15837/ijccc.2020.4.3891

[45] Sun, S., Zheng, X., Villalba-Díez, J., and Ordieres-Meré, J. (2019). Indoor air-quality datamonitoring system: Long-term monitoring benefits. Sensors, 19(19).
https://doi.org/10.3390/s19194157

[46] Taskin, D. and Yazar, S. (2020). A long-range context-aware platform design for rural monitoring with iot in precision agriculture. International Journal of Computers Communications & Control, 15(2).
https://doi.org/10.15837/ijccc.2020.2.3821.
https://doi.org/10.15837/ijccc.2020.2.3821

[47] Tastan, M. and Gökozan, H. (2019). Real-time monitoring of indoor air quality with internet of things-based e-nose. Applied Sciences, 9(16).
https://doi.org/10.3390/app9163435

[48] Texas Instruments Incorporated (2000). LM1117800-mALow-DropoutLinearRegulator. Texas Instruments Incorporated, Dallas, TX, USA. Rev. Jan. 2016.

[49] Tozlu, S. (2011). Feasibility of wi-fi enabled sensors for internet of things. In 2011 7th International Wireless Communications and Mobile Computing Conference, pages 291-296.
https://doi.org/10.1109/IWCMC.2011.5982548

[50] Tsaligopoulos, A., Kyvelou, S., Votsi, N.-E., Karapostoli, A., Economou, C., and Matsinos, Y. G. (2021). Revisiting the concept of quietness in the urban environment-towards ecosystems' health and human well-being. International Journal of Environmental Research and Public Health, 18(6).
https://doi.org/10.3390/ijerph18063151

[51] United Nations, Department of Economic and Social Affairs, Population Division (2019). World urbanization prospects: The 2018 revision (st/esa/ser.a/420). Technical report, United Nations, New York.

[52] Wang, S., Gao, S., Li, S., and Feng, K. (2020). Strategizing the relation between urbanization and air pollution: Empirical evidence from global countries. Journal of Cleaner Production, 243:118615.
https://doi.org/10.1016/j.jclepro.2019.118615

[53] Wu, Y.-C., Shiledar, A., Li, Y.-C., Wong, J., Feng, S., Chen, X., Chen, C., Jin, K., Janamian, S., Yang, Z., Ballard, Z. S., Göröcs, Z., Feizi, A., and Ozcan, A. (2017). Air quality monitoring using mobile microscopy and machine learning. Light: Science & Applications, 6:e17046.
https://doi.org/10.1038/lsa.2017.46

[54] Yi, W.-Y., Leung, K.-S., and Leung, Y. (2018). A modular plug-and-play sensor system for urban air pollution monitoring: Design, implementation and evaluation. Sensors, 18(1).
https://doi.org/10.3390/s18010007

[55] Zhang, H., Srinivasan, R., and Ganesan, V. (2021). Low cost, multi-pollutant sensing system using raspberry pi for indoor air quality monitoring. Sustainability, 13(1).
https://doi.org/10.3390/su13010370

[56] Zhang, X. Q. (2016). The trends, promises and challenges of urbanisation in the world. Habitat International, 54:241 - 252. Housing the Planet: Evolution of Global Housing Policies.
https://doi.org/10.1016/j.habitatint.2015.11.018
Published
2021-09-16
How to Cite
MUNTEAN, Ionut; MOIS, George Dan; FOLEA, Silviu Corneliu. Development and Analysis of Low-Cost IoT Sensors for Urban Environmental Monitoring. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 16, n. 5, sep. 2021. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/4260>. Date accessed: 18 oct. 2021. doi: https://doi.org/10.15837/ijccc.2021.5.4260.