IoT-Based Disaster Management Andearly Warning System for Fallen Trees

Natural disasters not only make immense losses and damages to the economy and human lives every year. That is why disaster prediction, timely warning creation, and distribution systems could and shouldbe created and enhanced. In order to offer an effective mechanism to gather information on the environment and produce warnings, technologies, like the Internet of Things, which have been recently introduced to warning systems are being adopted. This work reviews the literature on Internet of Things solutions to early warning systems of the different natural disaster such as flood, earth earthquake, tsunami,and landslides. This paper set out to profile the architectures that have been adopted, articulate the constraints and requirements of early warning systems, and tabulate this step-by-step method of determining the most prolific solutions among the four use cases of the study. Modern technology is being increased at a very high rate in the world in general and the communication technology in forms of the Internet of Things is gaining much demand in large information technology companies. The reason is that the Internet of Things is the net system of the physical connected to the internet, and mutually connected objects.These gadgets have sensor, software and other technologies which can gather and exchange data without any human interaction.The abundance of data implies that analytical decisions can be made in a much shorter timebut more accurately due to the possibility to obtain a wide view of a process. IoT can enhance the humanity.

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Publication Details

Journal
Proceeding of International Conference on Science and Technology UISU.
Published
2025-08-10
DOI
https://doi.org/10.30743/gbs8ms92
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
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article

IoT-Based Disaster Management Andearly Warning System for Fallen Trees

A. Z. Annuar, K. Ažman, Mohd Shamsul Ali
Proceeding of International Conference on Science and Technology UISU.
Internet of Things and AI
article

IoT-Based Disaster Management Andearly Warning System for Fallen Trees

A. Z. Annuar, K. Ažman, Mohd Shamsul Ali
article en

Abstract

Natural disasters not only make immense losses and damages to the economy and human lives every year. That is why disaster prediction, timely warning creation, and distribution systems could and shouldbe created and enhanced. In order to offer an effective mechanism to gather information on the environment and produce warnings, technologies, like the Internet of Things, which have been recently introduced to warning systems are being adopted. This work reviews the literature on Internet of Things solutions to early warning systems of the different natural disaster such as flood, earth earthquake, tsunami,and landslides. This paper set out to profile the architectures that have been adopted, articulate the constraints and requirements of early warning systems, and tabulate this step-by-step method of determining the most prolific solutions among the four use cases of the study. Modern technology is being increased at a very high rate in the world in general and the communication technology in forms of the Internet of Things is gaining much demand in large information technology companies. The reason is that the Internet of Things is the net system of the physical connected to the internet, and mutually connected objects.These gadgets have sensor, software and other technologies which can gather and exchange data without any human interaction.The abundance of data implies that analytical decisions can be made in a much shorter timebut more accurately due to the possibility to obtain a wide view of a process. IoT can enhance the humanity.

Proceeding of International Conference on Science and Technology UISU.
Universiti Malaysia Terengganu (MY)
Climate action
Openalex Percentile: Top 69%
Internet of Things and AI
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IoT-Based Disaster Management Andearly Warning System for Fallen Trees — A. Z. Annuar, K. Ažman, et al. · Proceeding of International Conference on Science and Technology UISU. (2025) | TGRS Research Map | TGRS