Model-Driven Impact Quantification of Energy Resource Redundancy and Server Rejuvenation on the Dependability of Medical Sensor Networks in Smart Hospitals

Model-Driven Impact Quantification of Energy Resource Redundancy and Server Rejuvenation on the Dependability of Medical Sensor Networks in Smart Hospitals

The spread of the Coronavirus (COVID-19) pandemic across countries all over the world urges governments to revolutionize the traditional medical hospitals/centers to provide sustainable and trustworthy medical services to patients under the pressure of the huge overload on the computing systems of w...

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Bibliographic Details
Main Authors: Francisco Airton Silva, Carlos Brito, Gabriel Araújo, Iure Fé, Maxim Tyan, Jae-Woo Lee, Tuan Anh Nguyen, Paulo Romero Martin Maciel
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
Internet of Things (IoT)
smart hospital
energy resources
availability
stochastic Petri net
Online Access:https://www.mdpi.com/1424-8220/22/4/1595

Internet

https://www.mdpi.com/1424-8220/22/4/1595

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