This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Mrutunjay Yadav,
Sachin Yadav,
- Research Scholar, Master of Computer Application, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
- Research Scholar, Master of Computer Application, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR) Mumbai, Maharashtra, India
Abstract
Natural disasters, including floods, earthquakes, and wildfires, pose risks to human life, infrastructure, and the environment. Many of the technological innovations are there, but in managing such disasters, there still is room for inefficiencies resulting from communication delay, unavailability of real-time data, and poor coordination at times. The inefficiencies lead to response times that are too long, inappropriate allocation of resources, and increased vulnerability to the impacts of disasters. Integration of IoT technologies in disaster management systems can be a solution to these challenges. With IoT, the potential of a fast and insightful environment is leveraged for decision-making with rapid data transmission through devices and sensors that can monitor the environment. This study covers an extended case study of how IoT influences disaster management: the potential and effectiveness of using sensors with IoT-enabled flood monitoring, earthquake detection, and wildfire management. In employing sensors with IoT, including water level sensors, accelerometers, and smoke detectors, it tries to measure the readiness in delivering early warnings and reducing the disaster risks. The research also includes an IoT framework used for monitoring and alert generation in real time with the support of communication networks and data analytics platforms. Such a framework’s performance is analyzed concerning accuracy, response time, and reliability. The challenges identified during implementation, including sensor placement, network reliability, and data security, are also pointed out with improvement suggestions for future development. This paper concludes that IoT-enabled systems can revolutionize disaster management through the reduction of response times, improvement in coordination among stakeholders, and decreased impact of natural disasters. The results will form part of a growing knowledge base on smart disaster management and focus on the transformational capacity of IoT for resilient and sustainable communities.
Keywords: Internet of Things (IoT), disaster management, real-time monitoring, early warning systems, flood monitoring, earthquake detection, wildfire management, IoT framework
[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]
Mrutunjay Yadav, Sachin Yadav. Leveraging IoT for Real-Time Disaster Management: Enhancing Preparedness and Response Through Smart Monitoring. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(02):-.
Mrutunjay Yadav, Sachin Yadav. Leveraging IoT for Real-Time Disaster Management: Enhancing Preparedness and Response Through Smart Monitoring. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(02):-. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=0
References
- H. Zhang and J. Wang, “The Role of Cloud Computing in IoT Disaster Management Systems,” IEEE Access, pp. 1234–1245, 2022.
- A. Kumar and R. Gupta, “Wireless Sensor Networks for Disaster Management: An IoT Perspective,” IoT Journal, pp. 45–67, 2020.
- A. Singh and R. Verma, “IoT-Based Flood Monitoring Systems: A Comprehensive Review,” Journal of Environmental Sciences, pp. 200–210, 2021.
- J. Lee and H. Kim, “Advancements in Sensor Technologies for Earthquake Monitoring,” Earth Science Research Journal, pp. 300–310, 2019.
- T. Tanaka, M. Suzuki, and S. Yamamoto, “IoT and Earthquake Early Detection: Challenges in Network Reliability,” Seismic Systems Review, pp. 50–65, 2020.
- L. Chen and X. Zhang, “IoT-Enabled Networks for Wildfire Detection,” Sensors and Actuators Journal, vol. 45, no. 6, pp. 789–798, 2020.
- B. Jones and C. Miller, “Drone Applications in IoT-Based Wildfire Management,” Drones and IoT Quarterly, pp. 220–230, 2021.
- R. Garcia, A. Lopez, and F. Torres, “Challenges in IoT Sensor Deployment for Wildfire Management,” Environmental Monitoring Journal, pp. 400–412, 2021.
- V. Patel and P. Kulkarni, “IoT Integration with 5G Networks for Disaster Management,” International Journal of IoT Applications, pp. 10–25, 2020.
- S.Al-Mutairi and M. Khan, “Cybersecurity Challenges in IoTBased Disaster Management Systems,” Cybersecurity Journal, vol. 3, no. 2, pp. 100–115, 2021.

Research & Reviews: A Journal of Embedded System & Applications
| Volume | 13 |
| Issue | 02 |
| Received | 05/03/2025 |
| Accepted | 26/03/2025 |
| Published | 22/04/2025 |
| Publication Time | 48 Days |
[first_name] [last_name]