AI-Driven Wi-Fi Environment

Artificial Intelligence in Wi-Fi Networks

Authors

  • Ang Tan Fong Dept. CST, Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaya
  • Chan Chee Seng Dept. AI, Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaya
  • Ling Teck Chaw Dept. CST, Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaya

Keywords:

Wi-Fi 7, Research, Computer Network, TP-Link

Abstract

By integrating AI into Wi-Fi environments, networks become more effective and responsive to user and device needs. This project aims to develop and deploy a smart Wi-Fi network that leverages artificial intelligence to optimize performance, enhance security, and improve user experience. With AI-driven Wi-Fi, network performance is greatly improved through load balancing and channel selection optimization, leading to faster and more dependable connections. Additionally, by identifying and addressing risks instantly, AI's predictive capabilities improve network security by reducing downtime due to unforeseen problems.

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Published

2024-10-29

How to Cite

AI-Driven Wi-Fi Environment: Artificial Intelligence in Wi-Fi Networks. (2024). Komputika Newsletter, 1(2). https://juku.um.edu.my/index.php/komputika/article/view/71632

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