Improving computing issues in Internet of Things driven e-health systems
dc.citation.epage | 17 | |
dc.citation.spage | 14 | |
dc.contributor.author | Maksimović, Mirjana | |
dc.date.accessioned | 2023-10-23T12:03:04Z | |
dc.date.available | 2023-10-23T12:03:04Z | |
dc.date.issued | 2017 | |
dc.description.abstract | The Internet of Things (IoT) progress shows a positive influence on all aspects of healthcare. Enabling access to high-quality healthcare to anyone, from anywhere are the main advantages of the IoT-driven e-health systems. Increasing numbers of medical devices and sensors and 24/7 monitoring of health parameters, consequently lead to enormous quantities and varieties of data. Having in mind the amounts of generated data and importance of on-time diagnosis and decision making as well as a significance of fast reactions in a case of detected abnormalities, transmitting all data to the Cloud for analysis may not be appropriate. For that reason, implementing a Fog computing, which realizes mini analytic processing centers at the edge of the network, appears as a better approach. This paper analyzes the manners and benefits of implementing Fog computing in the IoT-driven e-health systems. It is expected that the IoT and Fog computing together will revolutionize healthcare like nothing else before. | |
dc.identifier.uri | https://vaseljena.ues.rs.ba/handle/123456789/885 | |
dc.language.iso | en | |
dc.source | ICYRIME 2017: International Conference for Young Researchers in Informatics, Mathematics and Engineering | |
dc.subject | Internet of Things (IoT); e-health; Cloud; Fog computing | |
dc.title | Improving computing issues in Internet of Things driven e-health systems | |
dc.type | Article |
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