Affiliation:
1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India
2. College of Engineering Guindy, Anna University, Chennai, India
Abstract
The emergence of internet of things (IoT) based smart sensors has brought a revolution in disaster management to create early warning systems and to quickly respond to natural disasters. This chapter explores the vital function that these sensors serve, emphasizing how they might improve preparedness and lessen the destructive effects of disasters. It provides vital information that helps communities and authorities to anticipate any flooding events using smart sensors, flood sensors, atmospheric sensors. It emphasizes the necessity of developments in IoT-based smart sensors through case studies and real-world examples. Through an examination of the application of advanced technologies like artificial intelligence and machine learning, the chapter highlights how these sensors can sense on changing environmental conditions, improving the precision of early warning systems and response plans. The chapter ends with a discussion of the applications of internet of things-based smart sensors that can successfully address the difficulties brought on by natural catastrophes.
Reference50 articles.
1. Abdalzaher, M. (2023). Employing machine learning and iot for earthquake early warning system in smart cities. Energies16(1), 495.
2. Abdalzaher, M. (2023). Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey. Sustainability, 15(15), 11713.
3. Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
4. A Systematic Review of Big Data and Digital Technologies Security Leadership Outcomes Effectiveness during Natural Disasters.;Sustainable Futures : An Applied Journal of Technology, Environment and Society,2023
5. Agbehadji, I. (2023). A systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems. Climate, 11(9), 188.