Leveraging IoT for Environmental Surveillance & Smart Policy Design in India

References

[1] Jain, Ms Richa, Ms Kalpana Yadav, and Vasudha Sharma. "Leveraging AI and IoT for Environmental Monitoring in Emerging Markets." Eco-Friendly Advancement 164.

[2] Venkitaraman, A. K., & Choudhary, L. (2024, September). IoT and Big Data in Environmental Governance in India: Opportunities, Challenges and Insights. In International Conference on Technological Innovation in Multidisciplinary Engineering and Sciences (pp. 140-158). Cham: Springer Nature Switzerland.

[3] Ramani, D. R., Sujitha, B. B., & Tangade, S. (2025). Smart Environmental Monitoring Systems: IoT and Sensor‐Based Advancements. Environmental Monitoring Using Artificial Intelligence, 45-60.

[4] Sharma, A., Singh, K. J., Kapoor, D. S., Thakur, K., & Mahajan, S. (2024). The role of IoT in environmental sustainability: Advancements and applications for smart cities. In Mobile crowdsensing and remote sensing in smart cities (pp. 21-39). Cham: Springer Nature Switzerland.

[5] Parkavi, R., Soundar Arunachalam, R. M., Praveen, S., & Arunkumar, J. E. (2025). Building Sustainable Cities: Leveraging IoT and Analytics for Urban Automation and Management. In EcoTech Urbanism: Pioneering Sustainable Technologies for Developing Cities (pp. 241-258). Cham: Springer Nature Switzerland.

[6] Bhavani, K., & Gajendra, N. (2024). Smart data-driven sensing: New opportunities to combat environmental problems. In Bio-Inspired Data-driven Distributed Energy in Robotics and Enabling Technologies (pp. 17-47). CRC Press.

[7] Narang, S., Ponmalar, A., Sudha, I., & Ramesh, P. S. (2025, April). Leveraging IoT for Environmental Monitoring: Real-Time Data Collection and Analysis for Sustainable Development. In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI) (Vol. 3, pp. 532-536). IEEE.

[8] Mohanty, A., Mohapatra, A. G., Mohanty, S. K., & Nayak, S. (2024). Harnessing the power of IoT and big data: advancements and applications in smart environments. In Internet of things and big data analytics-based manufacturing (pp. 19-58). CRC Press.

[9] Karthikeyan, C. (2025). Integrating AI for Resilient Smart Cities in India: Leveraging Technology for Sustainable and Equitable Urban Futures. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 183-216). IGI Global Scientific Publishing.

[10] Thakur, V., Doja, M. N., & Faizi, A. A. (2019). Leveraging emerging technologies under Digital India. International Journal of Engineering Development and Research, 7(3), 704-714.

[11] Rane, N., Choudhary, S., & Rane, J. (2023). Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) technologies for enhanced wastewater treatment systems. Machine Learning (ML), Blockchain, and Internet of Things (IoT) Technologies for Enhanced Wastewater Treatment Systems (October 31, 2023).

[12] Hassebo, A., & Tealab, M. (2023). Global models of smart cities and potential IoT applications: A review. IoT, 4(3), 366-411.

[13] Deep, G., & Verma, J. (2023). Embracing the future: AI and ML transforming urban environments in smart cities. Journal of Artificial Intelligence, 5, 57.

[14] Navghare, M. K., & Metre, S. G. Leveraging IoT for Informed Agricultural Decision-Making: A Study on Real-Time Data Utilization. THE INDIAN, 228.

[15] Kaur, M. R., & Singh, J. (2024). Edge Computing and IoT in Smart Cities-An Overview.

[16] Miller, T., Durlik, I., Kostecka, E., Kozlovska, P., Łobodzińska, A., Sokołowska, S., & Nowy, A. (2025). Integrating artificial intelligence agents with the internet of things for enhanced environmental monitoring: applications in water quality and climate data. Electronics, 14(4), 696.

[17] Ghetiya, R., Sutariya, M., Dudharejiya, Y. G., Palaniappan, D., Premavathi, T., Jain, R., & Parmar, K. J. (2025). Big Data Analytics in Smart Cities Traffic Light. In Leveraging Urban Computing for Sustainable Urban Development (pp. 233-260). IGI Global Scientific Publishing.

@article{1714466,
      author = {Sunaina Rokaya, Syed Ammar Pasha, Dimple Patel , Saritha S R},
      title = {Leveraging IoT for Environmental Surveillance & Smart Policy Design in India},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {1778-1784},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714466.pdf},
      abstract = {India is also experiencing a severe environmental problem such as poor air quality in cities, drinking water contamination, unhealthy soil and increased future impacts of climate change. However, most of the existing methods of measuring or monitoring the environment are currently extremely obsolete. The IoT technology eliminates the need to have extensive and intermittent monitoring of the environment based on sensor networks. They offer a much wider and superior insight on what is happening to the environment and how to control it compared to previous manual monitoring systems. This research is aimed at finding out how to exploit IoT in achieving a higher or better degree of environmental governance in India by looking at both its technical and the kind of policy structures that are required to make effective use of this information. Cases of IoT usage to assist in enhancing air quality, as well as drinking water and groundwater, soil analysis, and early climate change warning, demonstrate that the IoT can offer more insight into the environmental condition of the state and enable taking the corresponding decisions earlier, which means that more flexibility is possible in a policymaking process. Regardless of this possibility, the main problems to the increased use of IoT will be the absence of a proper infrastructure, the problem of cybersecurity, awareness of data ownership and the modernisation of the data-management system by creating standardised models.},
      keywords = {Internet of Things, Environmental Monitoring, Environmental Governance, Air Quality, Sustainability.},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714466}
  }