A comprehensive analysis on network slicing for smart hospital applications

Shalitha Wijethilaka; Pawani Porambage; Chamitha De Alwis; Madhusanka Liyanage

doi:10.1109/ccnc49033.2022.9700535

A comprehensive analysis on network slicing for smart hospital applications

Shalitha Wijethilaka
, Pawani Porambage
, Chamitha De Alwis
, Madhusanka Liyanage

Institute for Research in Applicable Computing (IRAC)

University College Dublin
University of Oulu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	276-279
Number of pages	4
ISBN (Electronic)	9781665431613
DOIs	https://doi.org/10.1109/ccnc49033.2022.9700535
Publication status	Published - 10 Feb 2022
Event	2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) - Las Vegas Duration: 8 Jan 2022 → 11 Jan 2022

Publication series

Name	Proceedings - IEEE Consumer Communications and Networking Conference, CCNC
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISSN (Print)	2331-9860

Conference

Conference	2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
City	Las Vegas
Period	8/01/22 → 11/01/22
Other	2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (08/01/2022-11/01/2022, Las Vegas)

Keywords

5G
IoT
Network Slicing
Smart Hospitals

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/ccnc49033.2022.9700535

https://ieeexplore.ieee.org/document/9700535

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Cite this

Wijethilaka, S., Porambage, P., De Alwis, C., & Liyanage, M. (2022). A comprehensive analysis on network slicing for smart hospital applications. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (pp. 276-279). (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ccnc49033.2022.9700535

Wijethilaka, Shalitha ; Porambage, Pawani ; De Alwis, Chamitha et al. / A comprehensive analysis on network slicing for smart hospital applications. 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Institute of Electrical and Electronics Engineers Inc., 2022. pp. 276-279 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC).

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title = "A comprehensive analysis on network slicing for smart hospital applications",

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.",

keywords = "5G, IoT, Network Slicing, Smart Hospitals",

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language = "English",

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Wijethilaka, S, Porambage, P, De Alwis, C & Liyanage, M 2022, A comprehensive analysis on network slicing for smart hospital applications. in 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Proceedings - IEEE Consumer Communications and Networking Conference, CCNC, Institute of Electrical and Electronics Engineers Inc., pp. 276-279, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, 8/01/22. https://doi.org/10.1109/ccnc49033.2022.9700535

A comprehensive analysis on network slicing for smart hospital applications. / Wijethilaka, Shalitha; Porambage, Pawani; De Alwis, Chamitha et al.
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Institute of Electrical and Electronics Engineers Inc., 2022. p. 276-279 (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Wijethilaka, Shalitha

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AU - De Alwis, Chamitha

AU - Liyanage, Madhusanka

PY - 2022/2/10

Y1 - 2022/2/10

N2 - 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.

AB - 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.

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KW - IoT

KW - Network Slicing

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U2 - 10.1109/ccnc49033.2022.9700535

DO - 10.1109/ccnc49033.2022.9700535

M3 - Conference contribution

T3 - Proceedings - IEEE Consumer Communications and Networking Conference, CCNC

SP - 276

EP - 279

BT - 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)

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ER -

Wijethilaka S, Porambage P, De Alwis C, Liyanage M. A comprehensive analysis on network slicing for smart hospital applications. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Institute of Electrical and Electronics Engineers Inc. 2022. p. 276-279. (Proceedings - IEEE Consumer Communications and Networking Conference, CCNC). doi: 10.1109/ccnc49033.2022.9700535

A comprehensive analysis on network slicing for smart hospital applications

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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