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6G-Enabled Internet of Things: Vision, Techniques, and Open Issuesopen access

Authors
Hosseinzadeh, M.Hemmati, A.Rahmani, A.M.
Issue Date
Aug-2022
Publisher
Tech Science Press
Keywords
6G; artificial intelligence; Internet of Things; machine learning; wireless network
Citation
CMES - Computer Modeling in Engineering and Sciences, v.133, no.3, pp.509 - 556
Journal Title
CMES - Computer Modeling in Engineering and Sciences
Volume
133
Number
3
Start Page
509
End Page
556
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/86116
DOI
10.32604/cmes.2022.021094
ISSN
1526-1492
Abstract
There are changes in the development of wireless technology systems every decade. 6G (sixth generation) wireless networks improve on previous generations by increasing dependability, accelerating networks, increasing available bandwidth, decreasing latency, and increasing data transmission speed to standardize communication signals. The purpose of this article is to comprehend the current directions in 6G studies and their relationship to the Internet of Things (IoT). Also, this paper discusses the impacts of 6G on IoT, critical requirements and trends for 6G-enabled IoT, new service classes of 6G and IoT technologies, and current 6G-enabled IoT studies selected by the systematic literature review (SLR) method published from 2018 to 2021. In addition, we present a technical taxonomy for the classification of 6G-enabled IoT, which includes self-organization systems, energy efficiency, channel assessment, and security. Also, according to the articles reviewed, we consider the evaluation factors in this domain, including data transmission, delay, energy consumption, and bandwidth. Finally, we focus on open issues and future research challenges in 6G-enabled IoT. To mention important future challenges and directions, we can point to migration, data storage, data resource, data security, data sharing, data offloading, availability, scalability, portability, user experience, reliability, authentication, and authorization. © 2022 Tech Science Press. All rights reserved.
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Hosseinzadeh, Mehdi
College of IT Convergence (Department of Software)
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