Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review

Natural disasters cause enormous damage and losses every year, both economic and in terms of human lives. It is essential to develop systems to predict disasters and to generate and disseminate timely warnings. Recently, technologies such as the Internet of Things solutions have been integrated into alert systems to provide an effective method to gather environmental data and produce alerts. This work reviews the literature regarding Internet of Things solutions in the field of Early Warning for different natural disasters: floods, earthquakes, tsunamis, and landslides. The aim of the paper is to describe the adopted IoT architectures, define the constraints and the requirements of an Early Warning system, and systematically determine which are the most used solutions in the four use cases examined. This review also highlights the main gaps in literature and provides suggestions to satisfy the requirements for each use case based on the articles and solutions reviewed, particularly stressing the advantages of integrating a Fog/Edge layer in the developed IoT architectures.

Automated summary

This paper provides a literature review on Internet of Things solutions in the field of Early Warning for different natural disasters. It describes the adopted IoT architectures, defines the constraints and requirements of an Early Warning system, and determines the most used solutions in the four examined use cases. The review highlights the main gaps in literature and suggests integrating a Fog/Edge layer in the developed IoT architectures for improved performance.