International Journal of Electronics and Computer Applications

Volume: 1 Issue: 1

  • Open Access
  • Original Article

IoT Based: Landslide and Flood Detection System

Gouri Badiger1,*, Sanghmitra Gaikwad1, Shreya Kulkarni1, Vidya Kodgirwar1

1 Electronics & Telecommunication, PES’s Modern College of Engineering, Pune, India

*Corresponding author email: [email protected]

Year: 2024, Page: 1-4,

Received: March 12, 2024 Accepted: May 19, 2024 Published: May 22, 2024

Abstract

The IoT- grounded Landslide and Flood discovery system employs detectors and IoT technology to cover and prognosticate landslides and cataracts in real time. It provides early warning signals to help disasters. Detectors, including rain detectors and vibration detectors and rain hand are placed strategically in vulnerable areas. Data is transmitted wirelessly via protocols like Wi-Fi or cellular networks to a pall-grounded platform, where real- time analysis reveal implicit pitfalls.

Keywords: IoT Based: Landslide and Flood Detection System

References

  1. Joshi A, Grover J, Kanungo DP, Panigrahi RK. Real-time Landslide Monitoring, Detection and Early Warning System for Tangni LandslideSSRN Electronic Journal. 2019.

  2. Kumar N, M, Ramesh MV. Accurate IoT Based Slope Instability Sensing System for Landslide DetectionIEEE Sensors Journal. 2022;22(17):17151–17161. Available from: https://doi.org/10.1109/JSEN.2022.3189903

  3. Badru L, Twaibu S, Victoria O, Ocen GG. An IOT Based Landslide Detection and Early Warning System in Hilly Areas. 2022.

  4. Gamperl M, Singer J, Thuro K. Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning SystemsSensors. 2022;21(8):2609.

  5. Vinothini K, Jayanthy S. IoT Based Flood Detection and Notification System using Decision Tree Algorithm. 2021.

  6. Kumari D, Mahato L, Kumar G, Kumar G, Abhinab, Kumar, et al. Study on IOT Based Early Flood Detection & Avoidance. 2020.

  7. Rath S, Deshmukh VM, Manzoor R, Singh S, Singh SJ. IoT and ML based Flood Alert and Human Detection System2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). 2022.

  8. Rashid AA, Ariffin MAM, Kasiran Z. IoT-Based Flash Flood Detection and Alert Using TensorFlow2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). 2021.

  9. Kumar S, Duttagupta S, Rangan VP. Resilient Green Cellular IoT for Landslide Monitoring Using Voice ChannelsJournal of Sensor and Actuator Networks. 2021;10(3):59.

  10. Rashid AA, Ariffin MAM, Kasiran Z. IoT-Based Flash Flood Detection and Alert Using TensorFlow. In: 2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). (pp. 80-85) IEEE. 2021.

  11. Roy M, Pradhan P, George J, Pradhan N. Flood Detection and Water Monitoring System Using IOT. .

  12. Rath S, Deshmukh VM, Manzoor R, Singh S, Singh SJ. IoT and ML based Flood Alert and Human Detection System. In: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). (pp. 132-137) IEEE. 2022.

  13. Sajith PSM, Nair V, Suresh VP, Madhu A. IoT Based Landslide Disaster Management SystemSecond International Conference on Computer Networks and Communication Technologies. 2020;p. 660–667.

  14. Ramesh MV. Real-Time Wireless Sensor Network for Landslide Detection. In: 2009 Third International Conference on Sensor Technologies and Applications. IEEE. 2009. https://doi.org/10.1109/SENSORCOMM.2009.67

  15.  
  16. Kumar N, M, Ramesh MV. Accurate IoT Based Slope Instability Sensing System for Landslide DetectionIEEE Sensors Journal. 2022;22(17):17151–17161.

  17. Wireless Sensor Network for Landslide Detection .

  18. Bhangale KB, Mane A, Patil Y, Mapari RG, Bhosale H. IOT Based Landslide Detection in Hilly Area. In: 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA. (pp. 1-6) IEEE. 2022.

Cite this article

© 2024 Badiger et al. 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.

Views
37
Downloads
20