University of Oulu

Ranaweera, P., De Alwis, C., Jurcut, A. D., & Liyanage, M. (2022). Realizing contact-less applications with Multi-Access Edge Computing. ICT Express, 8(4), 575–587. https://doi.org/10.1016/j.icte.2022.03.001

Realizing contact-less applications with multi-access edge computing

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Author: Ranaweera, Pasika1; de Alwis, Chamitha2; Jurcut, Anca D.1;
Organizations: 1School of Computer Science, University College Dublin (UCD), Ireland
2Department of Electrical and Electronic Engineering, University of Sri Jayewardeneprua, Sri Lanka
3Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2023060752740
Language: English
Published: Elsevier, 2022
Publish Date: 2023-06-07
Description:

Abstract

The entire world progression has ceased with the unexpected outbreak of the COVID-19 pandemic, and urges the requirement for contact-less and autonomous services and applications. Realizing these predominantly Internet of Things (IoT) based applications demands a holistic pervasive computing infrastructure. In this paper, we conduct a survey to determine the possible pervasive approaches for utilizing the Multi-Access Edge Computing (MEC) infrastructure in realizing the requirements of emerging IoT applications. We have formalized specific architectural layouts for the considered IoT applications, while specifying network-level requirements to realize such approaches; and conducted a simulation to test the feasibility of proposed MEC approaches.

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Series: ICT express
ISSN: 2405-9595
ISSN-E: 2405-9595
ISSN-L: 2405-9595
Volume: 8
Issue: 4
Pages: 575 - 587
DOI: 10.1016/j.icte.2022.03.001
OADOI: https://oadoi.org/10.1016/j.icte.2022.03.001
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
AR
IoT
MEC
VR
Funding: This work is partly supported by Academy of Finland in 6Genesis (grant no. 318927) project.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2022 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/