Please use this identifier to cite or link to this item: https://repositorio.uti.edu.ec//handle/123456789/3064
Title: Fog computing for assisting and tracking elder patients with neurodegenerative diseases
Authors: García-Magariño, Iván
Varela-Aldás, José
Palacios-Navarro, Guillermo
Lloret, Jaime
Issue Date: 2019
Publisher: Peer-to-Peer Networking and Applications. Volume 12, Issue 5, Pages 1225 - 1235
Abstract: U.S. hospitals transmit and manage great amounts of information with the avenue of Internet of things. This work departs from a real need detected by healthcare centers and hospitals in U.S., Spain and Ecuador. This work focuses on the application of fog computing for obtaining an app rich in visual content that will not overload U.S. hospital infrastructures even if it was used massively. The simulation results showed that the proposed fog-based approach could support a regular use (one day out of three on average) by 1% of patients of one of the most common neurodegenerative diseases in 14 states in U.S (i.e. 36,400 patients in total) with only a traffic of 528 KB per day on average when using one hospital per state.
URI: https://link.springer.com/article/10.1007/s12083-019-00732-4
http://repositorio.uti.edu.ec//handle/123456789/3064
Appears in Collections:Artículos Científicos Indexados

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