Internet of Things Development for Flood Early Warning Monitoring System: A Review
Main Article Content
Abstract
The purpose of this study is to conduct a systematic literature review. The process of writing a systematic literature review (SLR) is carried out in accordance with this framework. High rainfall during the rainy season can cause continuous rainfall and increase the volume of water that has the potential to cause flooding. Meanwhile, the community does not receive information or notification directly when this happens. To anticipate these problems, it is effective to develop a water level monitoring system as an IoT-based flood early warning tool. This paper is sourced from various publications on IoT-based flood detection systems. This study discusses the definition and selection of methods used in this study, what is the purpose of this study in developing an IoT-based flood detection system, how the results of the flood detection system that has been implemented are compared. In this paper, we present the results of the development of flood detection systems in each previous study. Therefore, the main purpose of this paper is to review research on the development of IoT-based flood detection systems.
Downloads
References
M. Anbarasan et al., “Detection of flood disaster system based on IoT, big data and convolutional deep neural network,” *Comput Commun*, vol. 150, pp. 150–157, Jan. 2020, doi: 10.1016/j.comcom.2019.11.022.
M. Esposito, L. Palma, A. Belli, L. Sabbatini, and P. Pierleoni, “Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review,” Mar. 01, 2022, MDPI. doi: 10.3390/s22062124.
C. Moreno et al., “Rivercore: IoT device for river water level monitoring over cellular communications,” *Sensors (Switzerland)*, vol. 19, no. 1, Jan. 2019, doi: 10.3390/s19010127.
B. E. Pengel et al., “FLOOD EARLY WARNING SYSTEM: SENSORS AND INTERNET,” 2013. [Online]. Available: http://iahs.info/redbooks/357.htm.
M. M. Hasan et al., “Search and rescue operation in flooded areas: A survey on emerging sensor networking-enabled IoT-oriented technologies and applications,” *Cogn Syst Res*, vol. 67, pp. 104–123, Jun. 2021, doi: 10.1016/j.cogsys.2020.12.008.
M. S. Mohd Sabre, S. S. Abdullah, and A. Faruq, “Flood Warning and Monitoring System Utilizing Internet of Things Technology,” *Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control*, pp. 287–296, Oct. 2019, doi: 10.22219/kinetik.v4i4.898.
O. Mendoza-Cano et al., “Experiments of an IoT-based wireless sensor network for flood monitoring in Colima, Mexico,” *Journal of Hydroinformatics*, vol. 23, no. 3, pp. 385–401, May 2021, doi: 10.2166/HYDRO.2021.126.
S. K. Subramaniam, V. R. Gannapathy, S. Subramonian, and A. Hamidon, “Flood level indicator and risk warning system for remote location monitoring using flood observatory system,” 2010. [Online]. Available: https://www.researchgate.net/publication/234830161.
J. G. Natividad and J. M. Mendez, “Flood Monitoring and Early Warning System Using Ultrasonic Sensor,” in *IOP Conference Series: Materials Science and Engineering*, Institute of Physics Publishing, Mar. 2018. doi: 10.1088/1757-899X/325/1/012020.
M. Khalaf, “Flood Detection using Sensor Network and Notification via SMS and Public Network,” Administration Gallery, 2011. [Online]. Available: https://www.researchgate.net/publication/263088726.
J. Ibarreche et al., “Flash flood early warning system in Colima, Mexico,” *Sensors (Switzerland)*, vol. 20, no. 18, pp. 1–26, Sep. 2020, doi: 10.3390/s20185231.
C. Chen, Q. Hui, W. Xie, S. Wan, Y. Zhou, and Q. Pei, “Convolutional Neural Networks for forecasting flood process in Internet-of-Things enabled smart city,” *Computer Networks*, vol. 186, Feb. 2021, doi: 10.1016/j.comnet.2020.107744.
B. Arshad, R. Ogie, J. Barthelemy, B. Pradhan, N. Verstaevel, and P. Perez, “Computer vision and iot-based sensors in flood monitoring and mapping: A systematic review,” *Sensors (Switzerland)*, vol. 19, no. 22, Nov. 2019, doi: 10.3390/s19225012.
S. Binti Zahir et al., “Smart IoT Flood Monitoring System,” in *Journal of Physics: Conference Series*, Institute of Physics Publishing, Dec. 2019. doi: 10.1088/1742-6596/1339/1/012043.
S. Van Ackere, J. Verbeurgt, L. De Sloover, S. Gautama, A. De Wulf, and P. De Maeyer, “A review of the internet of floods: Near real-time detection of a flood event and its impact,” Nov. 01, 2019, MDPI AG. doi: 10.3390/w11112275.
A. H. Amahoru, A. Ridho, R. Lukafiardi, and M. B. F. Bisri, “Indonesian ‘tsunami-generation’ in a nutshell: Systematic literature review,” in *IOP Conference Series: Earth and Environmental Science*, Institute of Physics, 2023. doi: 10.1088/1755-1315/1245/1/012042.
I. Suwarno, A. Ma’arif, N. M. Raharja, A. Nurjanah, J. Ikhsan, and D. Mutiarin, “IoT-based Lava Flood Early Warning System with Rainfall Intensity Monitoring and Disaster Communication Technology,” *Emerging Science Journal*, vol. 4, no. Special issue, pp. 154–166, 2020, doi: 10.28991/ESJ-2021-SP1-011.
G. Mei, N. Xu, J. Qin, B. Wang, and P. Qi, “A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and Challenges,” May 01, 2020, Institute of Electrical and Electronics Engineers Inc. doi: 10.1109/JIOT.2019.2952593.
M. Khalaf et al., “IoT-Enabled flood severity prediction via ensemble machine learning models,” *IEEE Access*, vol. 8, pp. 70375–70386, 2020, doi: 10.1109/ACCESS.2020.2986090.
M. Siddique, T. Ahmed, and M. S. Husain, “Flood Monitoring and Early Warning Systems – An IoT Based Perspective,” Jul. 31, 2023, European Alliance for Innovation. doi: 10.4108/eetiot.v9i2.2968.
Article Sidebar
