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Journal of Engineering, Project, and Production Management, 2025, 15(4), 2025-121
Internet of Things for Earthquake Disaster Mitigation
1 PhD
Candidate, Department of Computer Science and Engineering, Kathmandu
University, Kavre, Nepal, E-mail: youbaraj3@gmail.com (corresponding
author).
Engineering Management
Received March 6, 2025; revised July 25, 2025; accepted July 26, 2025
Available online October 6, 2025
Abstract: Earthquakes are among the most damaging natural disasters, since they are responsible for a significant amount of property damage and fatalities. Studies have demonstrated the ineffectiveness of traditional disaster management techniques in properly anticipating earthquake damage or reducing its extent. By using the Internet of Things (IoT), which is a system of connected devices that share data instantly, we can greatly enhance how we manage earthquakes, monitor building safety, and use GPS and mobile devices, leading to early warnings, real-time alerts, and better decisions during emergencies. This paper investigates the potential use of the IoT in earthquake mitigation, preparedness, response, and recovery. Within the context of post-disaster response, early warning systems, and seismic monitoring, it discusses the operational and technological aspects of the IoT. Additionally, we discuss the limits and potential future applications of IoT integration in disaster management, emphasizing the importance of scalability, data security, and seamless integration capabilities.
Keywords: Internet of things, earthquake disaster mitigation, early warning systems, real-time monitoring, disaster recovery. Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Requests for reprints and permissions at eppm.journal@gmail.com. Citation: Poudyal, Y. R., Sharma, G., and Adhakari, L. B. (2025). Internet of Things for Earthquake Disaster Mitigation. Journal of Engineering, Project, and Production Management, 15(4), 2025-68.
DOI:
10.32738/JEPPM-2025-68
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