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

Oluwaseyi Olakunle Mokuolu

doi:10.30574/ijsra.2024.12.2.1601

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

Oluwaseyi Olakunle Mokuolu^*

Department of Information Technology, University of the Cumberlands, Kentucky, U.S.A.

Review Article

International Journal of Science and Research Archive, 2024, 12(02), 2869–2872.
Article DOI: 10.30574/ijsra.2024.12.2.1601
DOI url: https://doi.org/10.30574/ijsra.2024.12.2.1601

Publication history

Received on 18 July 2024; revised on 26 August 2024; accepted on 29 August 2024

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.

Keywords

Artificial Intelligence; Machine Learning; Internet of Things; IoT Performance; Data Management; Security

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How to cite this article

Oluwaseyi Olakunle Mokuolu. Reviewing the impact of artificial intelligence and machine learning in enhancing IoT applications performance. International Journal of Science and Research Archive, 2024, 12(02), 2869–2872. https://doi.org/10.30574/ijsra.2024.12.2.1601

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