Fog computing in new approach for monitoring of hazardous phenomena

Abstract

This paper presents an investigation on applying fog computing to develop a new system of forecasting and monitoring of hazardous phenomena and ensuring the population safety. So, there have been various negative natural phenomena and processes that affect the coastal areas and coastal infrastructure in Ponto-Caspian region recently. Currently, data of hydrological, meteorological and biological monitoring systems are splitted. At present one of the promising trends of developing new methods and algorithms for the forecasting and monitoring systems of natural hazardous phenomena is processing of large volumes of unstructured data coming from various sources, detectors and so on. The authors of the paper estimate the developing of the methods and algorithms of forecasting and monitoring of hazardous phenomena and ensuring the population safety that could be realized in the base of fog computing.

An Overview of Fog Data Analytics for IoT Applications

“…The implementation of fog makes edge computing possible, satisfying real-time analytical needs for taking certain actions. Systems using fog computing to forecast and monitor disastrous phenomena [ 52 ] at coastal areas and ensure the safety of the people and infrastructure have also been proposed. The same could be implemented in the smart home environment for fire and smoke detection [ 53 ] at any location with the help of sensing devices and fog nodes.…”