Cloud, Fog, Dew and Smart Dust Platform for Environmental Analysis
Cloud, Fog, Dew and Smart Dust Platform for Environmental Analysis
Author(s): Rossitza Goleva, Alexandar Savov, Ivelin Andreev, Rumen Stainov, Jugoslav Achkoski, Nikola Kletnikov, Igorche KarafilovskiSubject(s): Economy, Geography, Regional studies, Energy and Environmental Studies, Environmental Geography, ICT Information and Communications Technologies
Published by: Нов български университет
Keywords: Cloud computing; Fog computing; Dew computing; Smart dust computing; Sensor networks; Forest fire prevention; Fire detection; C.4 Performance of Systems; D.2.8 Metrics; D.4.8 Performance
Summary/Abstract: This work presents a cloud-based platform for forest fire and environmental monitoring and analysis. The platform is distributed, open for interconnection and fully virtualized. The smart dust, dew, fog and cloud levels are defined and applied for the forest monitoring, fire detection and prevention. The necessary data is collected through high variety of interfaces and sources and is not limited technologically. The virtual level allows implementation of the artificial intelligence algorithms regardless of the sensor level of the system. The solutions could be mobile or fixed. As a further research plans we aim to simulate specific use-cases of the platform and show performance analysis.
Journal: Computer Science and Education in Computer Science
- Issue Year: 13/2017
- Issue No: 1
- Page Range: 319-328
- Page Count: 10
- Language: English
