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Novel MEC based approaches for smart hospitals to combat COVID-19 pandemic |
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| Author: | Ranaweera, Pasika1; Liyanage, Madhusanka1,2; Jurcut, Anca Delia1 |
| Organizations: |
1School of Computer Science, University College Dublin, Ireland 2Centre for Wireless Communications, University of Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2020111790866 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2020
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| Publish Date: | 2020-11-17 |
| Description: |
AbstractCOVID-19 or Coronavirus has thrilled the entire world population with uncertainty over their survival and well-being. The impact this pathogen has caused over the globe has been profound due to its unique transmission features; that urges for contact-less strategies to interact and treat the infected. The impending 5G mobile technology is immersing the applications that enable the provisioning of medical and healthcare services in a contact-less manner. The edge computing paradigms offer a de-centralized and versatile networking infrastructure capable of adhering to the novel demands of 5G. In this article, we are considering Multi-Access Edge Computing (MEC) flavour of the edge paradigms for realizing the contact-less approaches that assist the mediation of COVID-19 and the future of healthcare. In order to formulate this ideology, we propose three use cases and discuss their implementation in the MEC context. Further, the requirements for launching these services are provided. Additionally, we validate our proposed approaches through simulations. see all
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| Series: |
IEEE consumer electronics magazine |
| ISSN: | 2162-2248 |
| ISSN-E: | 2162-2256 |
| ISSN-L: | 2162-2248 |
| Volume: | Early Access |
| Issue: | Early Access |
| Pages: | 1 - 12 |
| DOI: | 10.1109/MCE.2020.3031261 |
| OADOI: | https://oadoi.org/10.1109/MCE.2020.3031261 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
This work is party supported by European Union in RESPONSE 5G (Grant No: 789658) and Academy of Finland in 6Genesis (grant no. 318927) projects. |
| Academy of Finland Grant Number: |
318927 |
| Detailed Information: |
318927 (Academy of Finland Funding decision) |
| Copyright information: |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |