Reviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performance

The convergence of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) has revolutionized various industries by enhancing IoT applications' efficiency and performance. This paper presents a comprehensive review of the impact of AI and ML in optimizing IoT systems. This study investigates how AI/ML algorithms contribute to real-time decision-making, energy efficiency, data management, and security in IoT networks through a qualitative research methodology. Additionally, it identifies the limitations of current research and provides directions for future work.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-08-30
DOI
https://doi.org/10.30574/ijsra.2024.12.2.1601
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Reviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performance

Oluwaseyi Olakunle Mokuolu
International Journal of Science and Research Archive
IoT and Edge/Fog Computing
article

Reviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performance

Oluwaseyi Olakunle Mokuolu
article en

Abstract

The convergence of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) has revolutionized various industries by enhancing IoT applications' efficiency and performance. This paper presents a comprehensive review of the impact of AI and ML in optimizing IoT systems. This study investigates how AI/ML algorithms contribute to real-time decision-making, energy efficiency, data management, and security in IoT networks through a qualitative research methodology. Additionally, it identifies the limitations of current research and provides directions for future work.

International Journal of Science and Research ArchiveVol. 12(2)
Affordable and clean energy
Openalex Percentile: Top 85%
IoT and Edge/Fog Computing
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Reviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performance — Oluwaseyi Olakunle Mokuolu · International Journal of Science and Research Archive (2024) | TGRS Research Map | TGRS