Cited by 209Internet of Things and AIIoT and Edge/Fog ComputingAdvanced Wireless Communication Technologies

A Comprehensive Review on Artificial Intelligence/Machine Learning Algorithms for Empowering the Future IoT Toward 6G Era

Open access
Mahmood, M. Rezwanul, Matin, Mohammad Abdul, Sarigiannidis, Panagiotis, Goudos, Sotirios K.·2022·IEEE Access

Abstract

The evolution of the wireless network systems over decades has been providing new services to the users with the help of innovative network and device technologies. In recent times, the 5G network systems are about to be deployed which creates the opportunity to realize massive connectivity with high throughput, low latency, high energy efficiency and security. It also focuses on providing massive Internet of Things (IoT) network connectivity as well as services for good health, large-scale agricultural and industrial production, intelligent traffic control and electricity generation, transmission and distribution systems. However, the ever-increasing number of user devices is directing the researchers towards beyond 5G systems to allocate these user devices with higher bandwidth. Researches on the 6G wireless network systems have already begun to provide higher bandwidth availability for densely connected larger network devices with QoS surety. Researchers are leveraging artificial intelligence (AI)/machine learning (ML) for enhancing future IoT network operations and services. This paper attempts to discuss AI/ML algorithms that can help in developing energy efficient, secured and effective IoT network operations and services. In particular, our article concentrates on the major issues and factors that influence the design of the communication systems for future IoT with the integration of AI/ML. It also highlights application domains, including smart healthcare, smart agri…

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Crossref · 10.1109/access.2022.3199689

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Authors
Mahmood, M. R., Matin, M. A., Sarigiannidis, P., & Goudos, S. K.
Affiliations
  • North South University (BD)
  • University of Western Macedonia (GR)
  • Aristotle University of Thessaloniki (GR)
Venue
IEEE Access
Published
2022
Volume
10
Pages
87535-87562
ISSN
2169-3536 (ISSN-L)
OpenAlex
W4292348061
Cited by
209
References
3
Citations by year
2026: 33 · 2025: 76 · 2024: 63 · 2023: 30 · 2022: 7
FWCI
43.58
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Greater South Information System
Funders
European Union's Horizon 2020 research and innovation programme (957406 (TERMINET))
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
Keywords
artificial intelligence, machine learning algorithms, Internet of Things, 6G, beyond 5G, IoT network security, energy efficiency, quality of service, smart healthcare, smart agriculture, smart transportation, smart grid, smart industry, massive connectivity

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