Ajou University repository

Mixed Reality Virtual Device (MRVD) for seamless MR-IoT-Digital Twin convergence
Citations

SCOPUS

3

Citation Export

Publication Year
2024-07-01
Publisher
Elsevier B.V.
Citation
Internet of Things (Netherlands), Vol.26
Keyword
Augmented Reality (AR)Digital TwinsInternet of Things (IoT)Mixed Reality (MR)MR-IoT convergence
All Science Classification Codes (ASJC)
SoftwareComputer Science (miscellaneous)Information SystemsEngineering (miscellaneous)Hardware and ArchitectureComputer Science ApplicationsArtificial IntelligenceManagement of Technology and Innovation
Abstract
Mixed Reality (MR) extends Augmented Reality (AR) by emphasizing real-time interactions and providing a more immersive experience with the seamless integration of contextual elements, such as spaces, situations, objects, and user behaviors. MR creates new opportunities across fields, such as the Internet of Things (IoT) and Digital Twins (DT), and advancements in Artificial Intelligence (AI). However, integrating these technologies poses challenges for data synchronization, particularly for MR devices with limited computing resources. This study proposes a novel architectural concept, called the MR virtual Device (MRVD), to address the problem. MRVD serves as a virtual counterpart to the MR physical device (MRPD), optimizing computation and communication using container technologies to enhance availability, portability, and scalability. By handling resource-intensive tasks, MRVD boosts performance and consistency, thereby improving the effectiveness and efficiency of the MR-IoT-DT convergence. Our experiments demonstrate MRVD's concrete benefits in overcoming these challenges, offering a promising approach for future convergence applications.
ISSN
2542-6605
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34015
DOI
https://doi.org/10.1016/j.iot.2024.101155
Fulltext

Type
Article
Funding
This research was supported by the MSIT (Ministry of Science and ICT), Korea , under the ITRC (Information Technology Research Center) support program ( IITP-2023-2018-0-01431 ) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Roh, Byeong-hee Image
Roh, Byeong-hee노병희
Department of Software and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.