Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Science
  3. School of Computer Science
  4. Computer Science Research Collection
  5. A Comprehensive Analysis on Network Slicing for Smart Hospital Applications
 
  • Details
Options

A Comprehensive Analysis on Network Slicing for Smart Hospital Applications

Author(s)
Wijethilaka, Shalitha  
Porambage, Pawani  
De Alwis, Chamitha  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/25914
Date Issued
2022-01-11
Date Available
2024-05-10T16:01:47Z
Abstract
Network slicing (NS) is technology that enables emerging smart applications and use cases in Fifth Generation (5G) and beyond networks. One such application is smart hospitals, which has diverse network requirements for applications ranging from Augmented Reality (AR) and robot assisted surgeries to connecting large numbers of medical wearables and sensors. NS can be performed in smart hospitals under different strategies based on dynamicity, ownership, and application. This paper investigates how these strategies can be utilized in different smart hospital applications. The performance of each slicing strategy in a hospital network is analyzed under three matrices: bandwidth utilization, handover count, and block count.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Academy of Finland
Type of Material
Conference Publication
Publisher
IEEE
Start Page
276
End Page
279
Copyright (Published Version)
2022 IEEE
Subjects

Network slicing

Smart hospitals

IoT

5G

DOI
10.1109/ccnc49033.2022.9700535
Language
English
Status of Item
Peer reviewed
Journal
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Conference Details
IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 8-11 Jan. 2022
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

IEEE_CCNC_2022__Work_in_Progress___Slicing___Hospital_.pdf

Size

818.8 KB

Format

Adobe PDF

Checksum (MD5)

e72e94a692e0d0f525c508f88cb5814a

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement