Author : Rohit Verma¹, Meenakshi Nair², and Deepak Choudhary³
Affiliation : Department of Computer Science and Engineering, Crescent College of Engineering, Kottayam, Kerala, India
Journal :International Journal of Advanced Multidisciplinary Application.(IJAMA)
ISSN No:3048-9350
Volume/Issue : Volume 2 Issue 6 -2025/June ,Page No: 15 -19
DOI:
Abstract: Urban water distribution faces challenges such as leakage, wastage, uneven supply, and high operational costs. This research presents an IoT-enabled smart water distribution system for urban areas, integrating real-time monitoring, automated control, and data analytics to optimize water distribution. Using a network of flow sensors, pressure sensors, and IoT gateways connected to a cloud platform, the system enables predictive maintenance, leak detection, and equitable water distribution. The proposed system is evaluated for energy efficiency, water conservation, and sustainability impact. Results show a 25–35% reduction in water loss, improved supply reliability, and enhanced sustainability.
Keywords: IoT, Water Distribution, Smart City, Sustainability, Leak Detection, Real-Time Monitoring
Reference :
1. Ahamed, S., & Kumar, P. (2023). IoT-based water management systems: Design and applications. Journal of Environmental Informatics, 42(2), 145–159.
2. Banerjee, A., & Roy, M. (2022). Real-time monitoring of urban water supply networks. International Journal of Smart Infrastructure, 15(4), 301–315.
3. Bedi, G., Venayagamoorthy, G. K., Singh, R., & Brooks, R. R. (2018). Review of IoT applications in smart grid and water systems. IEEE Access, 6, 24498–24509.
4. Choudhary, D., & Sahu, A. (2021). Wireless sensor networks for sustainable water management. Sustainable Computing: Informatics and Systems, 31, 100582.
5. Darwish, A., Hassanien, A. E., & Elhoseny, M. (2020). The role of artificial intelligence in sustainable water distribution. Environmental Monitoring and Assessment, 192(5), 315.
6. Dey, N., & Ashour, A. S. (2019). IoT-based smart water systems. Advances in Intelligent Systems and Computing, 940, 145–162.
7. Gao, Y., & Zhang, H. (2021). Predictive analytics for water demand forecasting. Journal of Hydrology, 596, 126–134.
8. Gupta, S., & Jain, P. (2020). Low-cost IoT-based smart water distribution framework. International Journal of IoT Applications, 8(1), 55–63.
9. Hussain, M., & Khan, S. (2023). Renewable energy integration in IoT water systems. Energy Reports, 9,451–462.
10. Ibrahim, M., & Noor, A. (2022). Leak detection in water pipelines using IoT. Journal of Civil and Environmental Engineering, 12(3), 214–226.
11. Iqbal, M., & Rahman, M. (2020). Cloud computing for water resource management. Future Generation Computer Systems, 112, 1041–1051.
12. Jadhav, S., & Deshmukh, A. (2021). ARIMA vs LSTM for water demand prediction. International Journal of Data Science, 6(4), 201–210.
13. Joshi, A., & Singh, N. (2019). Role of LoRaWAN in smart water distribution networks. Wireless Communications Letters, 8(5), 1332–1335.
14. Kaur, R., & Gill, S. S. (2020). Sustainable urban water management using IoT. Sustainable Cities and Society, 54, 102–111.
15. Khan, R., & Pathak, S. (2021). Edge computing in water monitoring systems. IoT Journal, 8(3), 1756 1764.
16. Kim, D., & Park, J. (2022). AI-based water resource optimization. Water Resources Management, 36(11),3795–3810.
17. Li, X., & Zhao, Y. (2020). Remote sensing in urban water systems. Remote Sensing Applications: Society and Environment, 18, 100322.
18. Liu, J., & Chen, L. (2023). Water quality monitoring via IoT. Environmental Technology & Innovation, 29, 102–114.
19. Malik, M., & Sharma, P. (2021). IoT and big data in sustainable cities. Cities, 118, 103–118.
20. Mehta, K., & Thakur, R. (2022). Low-power IoT design for rural water systems. Journal of Rural Development Engineering, 14(2), 85–93.
21. Mohan, R., & Rajan, S. (2020). Intelligent control of water pumps. Automation in Water Systems, 3(1),44–56.
22. Nair, M., & Varma, R. (2021). Blockchain for water distribution transparency. Journal of Water Policy,23(5), 1015–1027.
23. Nguyen, T., & Pham, H. (2023). Cloud-based IoT for water distribution. International Journal of Cloud Computing, 12(1), 65–80.
24. Oliveira, L., & Rodrigues, J. J. (2020). Wireless sensor networks for water quality monitoring. Sensors,20(18), 5239.
25. Pandey, S., & Yadav, R. (2022). LoRa-based rural water monitoring. International Journal of Wireless Networks, 15(2), 77–89.
26. Patel, H., & Shah, A. (2020). Data analytics for leakage detection. Water Science and Technology: Water Supply, 20(6), 2304–2312.
27. Prasad, K., & Rao, V. (2019). IoT-based smart irrigation and water distribution. Agricultural Water Management, 215, 123–131.
28. Reddy, K., & Kumar, S. (2021). Cybersecurity challenges in IoT water systems. IEEE Internet of Things Journal, 8(14), 11302–11312.
29. Roy, S., & Banerjee, P. (2023). Mobile app integration for utility management. Smart Cities Journal, 6(3), 122–135.
30. Saha, S., & Ghosh, P. (2020). AI-enhanced water conservation methods. Journal of Intelligent Systems,29(7), 1308–1320.
31. Shukla, V., & Tripathi, M. (2022). Solar-powered IoT water systems. Renewable Energy Applications Journal, 17(2), 221–234.
32. Singh, R., & Jain, D. (2021). Machine learning for anomaly detection in water networks. Applied Computing and Informatics, 19(3), 150–164.
33. Sun, Y., & Wang, L. (2022). IoT in water utilities: A case study. Utilities Policy, 74, 101–116.
34. Tan, H., & Lim, C. (2023). Predictive maintenance in smart water systems. Water Resources Research,59(4), e2022WR033214.
35. Thakur, P., & Chandra, S. (2020). Web-based dashboards for utility monitoring. International Journal of Web Applications, 12(1), 45–58.
36. Verma, R., & Gupta, K. (2021). Energy-efficient communication protocols for IoT. International Journal of Sensor Networks, 37(4), 214–225.
37. Wang, X., & Li, H. (2020). Smart valves for water flow control. Mechanical Systems and Signal Processing, 140, 106–118.
38. Wu, J., & Li, F. (2021). Sensor calibration techniques for IoT devices. Measurement, 179, 109–118.
39. Yadav, A., & Singh, B. (2022). LoRa vs NB-IoT for rural water distribution. Wireless Personal Communications, 126, 345–362.
40. Zhang, Q., & Zhou, M. (2019). Integration of IoT and cloud for water management. Future Internet,11(8), 174.
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