Internet of Things (IoT) for Environmental Monitoring
DOI:
https://doi.org/10.47941/ijce.2139Keywords:
Internet of Things (IoT), Environmental Monitoring, Data AnalyticsAbstract
Purpose: The general objective of this study was to explore the Internet of Things for environmental monitoring.
Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
Findings: The findings reveal that there exists a contextual and methodological gap relating to the Internet of Things for environmental monitoring. Preliminary empirical review revealed that IoT technologies have significantly enhanced environmental management practices by revolutionizing data collection and analysis across various ecosystems. By integrating IoT sensors with existing monitoring frameworks, real-time data on air and water quality, agriculture, wildlife habitats, and urban green spaces was efficiently gathered. This data facilitated proactive decision-making, early detection of environmental risks, and evidence-based policy formulation to address climate change, biodiversity conservation, and sustainable resource management challenges. Despite challenges like data security and interoperability, collaborative efforts among stakeholders paved the way for more effective environmental monitoring and sustainable development initiatives globally.
Unique Contribution to Theory, Practice and Policy: The Complex Adaptive Systems Theory, Diffusion of Innovations Theory and Resource Dependence Theory may be used to anchor future studies on the Internet of Things technology. The study provided several recommendations that contributed significantly to theory, practice, and policy in environmental management. The study emphasized interdisciplinary approaches to enhance theoretical frameworks, advocating for advanced models and algorithms integrating IoT with environmental science and data analytics. In practice, it recommended widespread adoption of IoT-enabled sensor networks with enhanced capabilities for precise and reliable data collection. Policy-wise, the study called for regulatory frameworks supporting IoT integration, data standards, and international cooperation to address global environmental challenges collaboratively. Capacity building and continuous research and development were also highlighted to optimize IoT technologies for sustainable environmental monitoring and management globally.
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Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376. doi:10.1109/COMST.2015.2444095
Anderson, J. M., & Brown, A. V. (2015). Environmental impacts of mining activities in Brazil: Prospects for the post-Fukushima age. Environmental Science & Technology, 49(1), 5-6.doi:10.1021/es505563g
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805. doi:10.1016/j.comnet.2010.05.010
Bar-Yam, Y. (1997). Dynamics of complex systems. Studies in Nonlinear Dynamics & Econometrics, 2(3), 67-97.
Brown, C. D., & Green, B. H. (2019). Air quality monitoring and management in the United Kingdom: Current trends and future challenges. Environmental Monitoring & Assessment, 191(2), 78-89.doi:10.1007/s10661-018-7156-9
Chen, L., Wang, Y., & Zhang, H. (2016). IoT for forest fire monitoring: Integrating sensor networks with satellite data. International Journal of Wildfire Management, 15(3), 321-335.
Dastjerdi, A. V., & Buyya, R. (2016). Fog computing: Helping the Internet of Things realize its potential. Computer, 49(8), 112-116. doi:10.1109/MC.2016.245
Davis, R. J., & Thomas, M. L. (2021). Climate change impacts and adaptation strategies in coastal cities of the United States. Journal of Climate Change, 4(2), 112-125. doi:10.1175/JCC-D-20-00123.1
Ferreira, L. C., & Barbosa, R. P. (2020). Biodiversity monitoring and conservation in the Amazon rainforest: Challenges and opportunities. Biodiversity & Conservation, 29(7), 1875-1890.doi:10.1007/s10531-020-01956-5
Gupta, R., Patel, S., & Kumar, M. (2017). IoT for sustainable agriculture: Enhancing productivity through smart farming. Journal of Agricultural Technology, 22(1), 45-58.
Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Addison-Wesley.
Jennings, R., Mulero-Pazmany, M., & Cano, J. (2020). Internet of Things: A review of technology and potential applications. Journal of Sensor and Actuator Networks, 9(3), 36. doi:10.3390/jsan9030036
Jones, A. B., Smith, C. D., & Johnson, E. F. (2019). Leveraging IoT for environmental monitoring: A systematic review. Journal of Environmental Science and Technology, 42(3), 567-581.
Jones, C., Brown, D., & Garcia, F. (2018). IoT applications in freshwater ecosystems: Monitoring water quality in real time. Journal of Environmental Monitoring, 36(4), 567-581.
Jones, E. F., & Smith, G. H. (2020). Urban environmental monitoring: Challenges and innovations in the United States. Environmental Science & Policy, 102, 43-56. doi:10.1016/j.envsci.2019.08.007
Kabubo-Mariara, J., & Karanja, F. (2017). Transboundary conservation efforts and wildlife monitoring in the Maasai Mara. African Journal of Ecology, 55(3), 421-433. doi:10.1111/aje.12387
Lee, J., Kim, S., & Park, J. (2015). IoT applications in marine environment monitoring: Case studies from coastal regions. Marine Ecology Progress Series, 25(2), 178-192.
NDMC (2018). Urban air quality monitoring: Innovations in IoT technology. *National Drought Mitigation Center. Retrieved from https://drought.unl.edu/news-articles/urban-air-quality-monitoring-innovations-in-iot-technology
Niang, I., Ruppel, O. C., Abdrabo, M. A., Essel, A., Lennard, C., Padgham, J., & Urquhart, P. (2014). Climate change adaptation and food security in Sub-Saharan Africa: Insights from climate data monitoring. Global Environmental Change, 24, 103-112. https://doi.org/10.1016/j.gloenvcha.2013.11.003
Pfeffer, J., & Salancik, G. R. (1978). The external control of organizations: A resource dependence perspective. Harper & Row.
Ray, P. P., Dash, D., & De, D. (2016). Internet of Things for agriculture: Recent trends and future directions. International Journal of Computer Applications, 140(5), 19-24. doi:10.5120/ijca2016908329
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Roman, R., Zhou, J., & Lopez, J. (2013). On the features and challenges of security and privacy in distributed Internet of Things. Computer Networks, 57(10), 2266-2279. doi:10.1016/j.comnet.2013.05.010
Scott, W. R., & Davis, G. F. (2007). Organizations and organizing: Rational, natural, and open system perspectives. Prentice Hall.
Sharma, S., Tyagi, S. K., Le, D. N., & Kumar, R. (2016). IoT-based water quality monitoring and management: A review. Journal of Ambient Intelligence and Humanized Computing, 7(3), 353-373. doi:10.1007/s12652-015-0330-6
Silva, M. J., & Santos, A. B. (2018). Air quality monitoring in urban areas of Brazil: Challenges and opportunities. Journal of Environmental Management, 210, 10-18. doi:10.1016/j.jenvman.2017.12.019
Smith, A., & Johnson, B. (2019). Internet of Things for urban air quality monitoring: A case study. Environmental Science & Technology, 45(2), 210-225.
Statista. (2023). Number of Internet of Things (IoT) connected devices worldwide. Retrieved from https://www.statista.com/topics/987/internet-of-things-iot
Tanaka, H., & Yamada, S. (2018). Advances in climate change monitoring and management in Japan. Environmental Science & Policy, 80, 65-78. doi:10.1016/j.envsci.2017.12.001
Wang, Q., Liu, H., & Zhang, G. (2014). IoT for wildlife conservation: Monitoring habitats and protecting endangered species. Conservation Biology, 28(5), 632-647.
White, P., & Black, L. (2018). Water quality monitoring and management in the United Kingdom: Current trends and future directions. Water Research, 130, 15-24. doi:10.1016/j.watres.2017.11.061
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22-32. doi:10.1109/JIOT.2014.2306328
Zhang, X., Liu, Y., & Yang, J. (2013). IoT for urban green space monitoring: Enhancing sustainability in urban environments. Urban Ecosystems, 18(4), 421-435.
Zhou, J., Cao, Z., Dong, X., Vasilakos, A. V., & Xu, Z. (2018). Internet of Things in edge computing: Recent advances, opportunities, and challenges. Future Generation Computer Systems, 87, 278-289. doi:10.1016/j.future.2018.04.040
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