Volume no :
|
Issue no :
Article Type :
Author :
Selvaprasanth P
Published Date :
Publisher :
Page No: 270-283
Abstract : Natural disasters such as earthquakes, floods, and wildfires pose significant threats to life and property, underscoring the need for effective early warning systems. This study introduces a real-time disaster detection system that utilizes IoT sensors to monitor critical environmental parameters such as temperature, humidity, seismic activity, and air quality. The collected data is processed using advanced machine learning algorithms to identify anomalies and predict potential disasters. A cloud-based infrastructure facilitates seamless data transmission, real-time monitoring, and efficient decision-making. The system provides automated alerts to authorities and residents via mobile notifications, SMS, and sirens, enhancing disaster preparedness and minimizing damage. Experimental results confirm the system’s high accuracy and ability to significantly reduce response time compared to traditional methods. By integrating IoT and artificial intelligence, this solution offers improved disaster prediction and response capabilities. Future work will focus on enhancing sensor precision, expanding disaster scenarios, and adopting blockchain technology for secure and transparent data management. Refined Keywords
Keyword: Keywords: IoT sensors, disaster detection
Reference:

39. Rajagopal, R. K. P. M. T. K. R., Karthick, R., Meenalochini, P., & Kalaichelvi, T. (2023). Deep Convolutional Spiking Neural Network optimized with Arithmetic optimization algorithm for lung disease detection using chest X-ray images. Biomedical Signal Processing and Control, 79, 104197.
40. Karthick, R., Senthilselvi, A., Meenalochini, P., & Senthil Pandi, S. (2022). Design and analysis of linear phase finite impulse response filter using water strider optimization algorithm in FPGA. Circuits, Systems, and Signal Processing, 41(9), 5254-5282.
41. Surakasi, R., Mohana, J., Praveen, S. L., Patil, P., Karthick, R., & Alam, M. I. (2022). Achievements of electro spinning chitosan using composite materials. Materials Today: Proceedings, 66, 779-782.
42. Ramya, C. (2020). A House for Mr. Biswas VS Naipaul’s Journey from Self-discovery to Search for Identity and Stability. Strength for Today and Bright Hope for Tomorrow Volume 20: 6 June 2020 ISSN 1930-2940, 68.
43. Sidharth, S. (2019). Quantum-Enhanced Encryption Methods for Securing Cloud Data.
44. Ramya, C. (2020). Rhetoric and Poetic Excellence of Philip Larkin. Strength for Today and Bright Hope for Tomorrow Volume 20: 5 May 2020 ISSN 1930-2940, 1.
45. Dawood, M. S., Benazer, S. S., Karthick, R., Ganesh, R. S., & Mary, S. S. (2021). Performance analysis of efficient video transmission using EvalSVC, EvalVid-NT, EvalVid. Materials Today: Proceedings, 46, 3848-3850.
46. Karthick, R. R. M. A. M. V. K. R., Ramkumar, R., Akram, M., & Kumar, M. V. (2021). Overcome the challenges in bio-medical instruments using IOT–A review. Materials Today: Proceedings, 45, 1614-1619.
47. Sidharth, S. (2022). Enhancing Generative AI Models for Secure and Private Data Synthesis.