Journal of Machine and Computing

Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework

Journal of Machine and Computing

Received On : 24 September 2022

Revised On : 16 January 2023

Accepted On : 14 February 2023

Published On : 05 April 2023

Volume 03, Issue 02

Pages : 144-158


Typically, about 51% of the groundwater satisfies the drinking water worldwide and is regarded as the major source for the purpose of irrigation. Moreover, the monitoring and assessment of groundwater over bore wells is essential to identify the effect of seasonal changes, precipitations, and the extraction of water. Hence, there is a need to design a depth sensor probe for bore wells so as to analyze/monitor the quality of underground water thereby estimating any geophysical variations like landslides/earthquakes. Once the depth sensor probe is designed, the data is collected over wireless sensor network (WSN) medium and is stored in cloud for further monitoring and analyzing purposes. WSN is the major promising technologies that offer the real-time monitoring opportunities for geographical areas. The wireless medium in turn senses and gathers data like rainfall, movement, vibration, moisture, hydrological and geological aspects of soil that helps in better understanding of landslide or earthquake disasters. In this paper, the design and development of geophysical sensor probe for the deep bore well so as to monitor and collect the data like geological and hydrological conditions. The data collected is then transmitted by wireless network to analyze the geological changes which can cause natural disaster and water quality assessment.


Depth Sensor Probe, Bore Wells, Groundwater, WSN, Cloud, Hydrological And Geological Features, Water Level, Water Quality.

  1. M. V. Ramesh, "Design, development, and deployment of a wireless sensor network for detection of landslides," Ad Hoc Networks, vol. 13, pp. 2-18, 2014.
  2. M. Akrong, F. Amu-Mensah, M. Amu-Mensah, H. Darko, G. Addico, and J. Ampofo, "Seasonal analysis of bacteriological quality of drinking water sources in communities surrounding Lake Bosomtwe in the Ashanti Region of Ghana," Applied Water Science, vol. 9, p. 82, 2019.
  3. R. Abhinaya and G. Kodandaramaiah, "Ground Water Monitoring System using Outflow of Motor."
  4. S. Geetha and S. Gouthami, "Internet of things enabled real time water quality monitoring system," Smart Water, vol. 2, pp. 1-19, 2016.
  5. T. Thanh Long and S. Koontanakulvong, "Deep Percolation Characteristics via Soil Moisture Sensor Approach in Saigon River Basin, Vietnam," International Journal of Civil Engineering and Technology, vol. 10, 2019.
  6. Z. Sun, Y. Jia, H. Shan, Z. Fan, X. Song, L. Xue, et al., "Monitoring and Early Warning Technology of Hydrate-induced Submarine Disasters," in IOP Conference Series: Earth and Environmental Science, 2020, p. 062030.
  7. I. Tucakovic, "An automated blending device for brackish water desalination: Upscaling the laboratory-scale device for standardised water supply on farms," Murdoch University, 2020.
  8. H. Li, J. Gu, A. Hanif, A. Dhanasekar, and K. Carlson, "Quantitative decision making for a groundwater monitoring and subsurface contamination early warning network," Science of the Total Environment, vol. 683, pp. 498-507, 2019.
  9. M. V. Ramesh, D. Pullarkatt, T. Geethu, and P. V. Rangan, "Wireless sensor networks for early warning of landslides: experiences from a decade long deployment," in Workshop on world landslide forum, 2017, pp. 41-50.
  10. W. Li, G. Chen, X. Yin, J. Ge, W. Jiang, and J. Zhao, "Bobbin coil probe with sensor arrays for imaging and evaluation of longitudinal cracks inside aluminum tubes," IEEE Sensors Journal, vol. 18, pp. 6774-6781, 2018.
  11. K. Huang, C. Brunner, M. Fu, K. Kokmanian, T. Morrison, A. Perelet, et al., "Investigation of the atmospheric surface layer using a novel high-resolution sensor array," Experiments in Fluids, vol. 62, pp. 1-13, 2021.
  12. D. M. Caetano, T. Rabuske, J. Fernandes, M. Pelkner, C. Fermon, S. Cardoso, et al., "High-resolution nondestructive test probes based on magnetoresistive sensors," IEEE Transactions on Industrial Electronics, vol. 66, pp. 7326-7337, 2018.
  13. R. I. Acworth, G. C. Rau, M. O. Cuthbert, K. Leggett, and M. S. Andersen, "Runoff and focused groundwater-recharge response to flooding rains in the arid zone of Australia," Hydrogeology Journal, vol. 29, pp. 737-764, 2021.
  14. S. Rajesh, G. Suresh, and R. C. Mohan, "Design and development of multi-purpose prosthetic bore well system-an invincible arm," Materials Today: Proceedings, vol. 4, pp. 8983-8992, 2017.
  15. D. Bagga, R. Gujral, and A. Mishra, "Real-time Water Level Monitoring Using IOT," Alok, Real-time Water Level Monitoring Using IOT (May 9, 2021), 2021.
  16. H. Tesfalem, A. D. Fletcher, M. Brown, B. Chapman, and A. J. Peyton, "Study of asymmetric gradiometer sensor configurations for eddy current based non-destructive testing in an industrial environment," NDT & E International, vol. 100, pp. 1-10, 2018.
  17. D. Rifai, A. N. Abdalla, R. Razali, K. Ali, and M. A. Faraj, "An eddy current testing platform system for pipe defect inspection based on an optimized eddy current technique probe design," Sensors, vol. 17, p. 579, 2017.
  18. V. B. Patil, K. Lokesh, M. Krishnamurthy, and H. Nadagoudar, "Delineation of Groundwater Potential Zones using Integrated Approach in Semi-Arid Hard Rock Terrain, Kanavi Halla Sub-Basin, Belagavi District, Karnataka," Journal of the Geological Society of India, vol. 96, pp. 410-419, 2020.
  19. C. Herrera, G. Nellis, D. Reindl, S. Klein, J. M. Tinjum, and A. McDaniel, "Use of a fiber optic distributed temperature sensing system for thermal response testing of ground-coupled heat exchangers," Geothermics, vol. 71, pp. 331-338, 2018.
  20. V. P. Dimri, S. Padhy, N. Mondal, G. Reddy, G. G. Ramacharyulu, V. Singh, et al., "On investigations of the observed thermal anomaly in earthquake precursors: A case study from the 1993 Latur earthquake prone area in western India," 2020.
  21. A. Šarolić, "Open-Ended Coaxial Dielectric Probe Model for Biological Tissue Sensing Depth Analysis at 2 GHz," in 2019 European Microwave Conference in Central Europe (EuMCE), 2019, pp. 605-608.
  22. A. J. Khan, F. U. Mustafa, H. F. Gabriel, H. U. Khan, W. Haider, H. Abbas, et al., "An Integrated Geo-Physical Approach for Groundwater Investigation in Northwestern Part of Pakistan," European Journal of Molecular & Clinical Medicine, vol. 7, pp. 317-330, 2020.
  23. H.-Y. Kung, J.-S. Hua, and C.-T. Chen, "Drought forecast model and framework using wireless sensor networks," Journal of information science and engineering, vol. 22, pp. 751-769, 2006.
  24. H. Liu, Z. Meng, and S. Cui, "A wireless sensor network prototype for environmental monitoring in greenhouses," in 2007 International Conference on Wireless Communications, Networking and Mobile Computing, 2007, pp. 2344-2347.
  25. R. Musaloiu-e, A. Terzis, K. Szlavecz, A. Szalay, J. Cogan, and J. Gray, "Life under your feet: A wireless soil ecology sensor network," in Proc. 3rd Workshop on Embedded Networked Sensors (EmNets 2006), 2006.
  26. A. Terzis, A. Anandarajah, K. Moore, and I.-J. Wang, "Slip surface localization in wireless sensor networks for landslide prediction," in 2006 5th International Conference on Information Processing in Sensor Networks, 2006, pp. 109-116.
  27. Madeleine Wang Yue Dong and Yannis Yortsos, “Application of Machine Learning Technologies for Transport layer Congestion Control", vol.2, no.2, pp. 066-076, April 2022. doi: 10.53759/181X/JCNS202202010.
  28. M. Niswar, S. Wainalang, A. A. Ilham, Z. Zainuddin, Y. Fujaya, Z. Muslimin, et al., "IoT-based water quality monitoring system for soft-shell crab farming," in 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), 2018, pp. 6-9.
  29. Y. Chen and D. Han, "Water quality monitoring in smart city: A pilot project," Automation in Construction, vol. 89, pp. 307-316, 2018.
  30. M. E. E. Alahi, S. C. Mukhopadhyay, and L. Burkitt, "Imprinted polymer coated impedimetric nitrate sensor for real-time water quality monitoring," Sensors and Actuators B: Chemical, vol. 259, pp. 753-761, 2018.


We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript


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K Sakthidasan @ Sankaran, J Lekha, M Jenath and Balamurugan Easwaran, “Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework”, Journal of Machine and Computing, pp. 144-158, April 2023. doi: 10.53759/7669/jmc202303014.


© 2023 K Sakthidasan @ Sankaran, J Lekha, M Jenath and Balamurugan Easwaran. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.