An interconnected IoT-inspired network architecture for data visualization in remote sensing domain

Geospatial Data Analytics (GDA) is a futuristic platform for analyzing and processing volumetric data in remote sensing and GIS applications. GDA utilizes the Internet of Spatial Things (IoST), mist, fog, and cloud computing architecture as a backend tool for analyzing and processing big geospatial...

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Hlavní autoři:	Sunil K. Panigrahi, Veena Goswami, Hemant K. Apat, Rabindra K. Barik, Ankit Vidyarthi, Punit Gupta, Meshal Alharbi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2023-10-01
Edice:	Alexandria Engineering Journal
Témata:	Cloud GIS architecture Internet of spatial things Geospatial data Fog computing Mist computing Queueing model
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1110016823007731
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