Year: 2025
Type: article
Abstract: Network management has long relied on traditional methods, often reactive and limited in scope. However, the increasing complexity and dynamism of modern networks demand a more intelligent and adaptive approach. Artificial Intelligence (AI) is emerging as a powerful solution, enabling a paradigm shift towards proactive, real-time traffic optimization. This paper explores the application of AI in network management, focusing on its ability to analyze vast datasets, predict traffic patterns, automate routing decisions, and enhance security measures with the various AI techniques employed, the benefits of AI-driven optimization, the challenges hindering widespread adoption, and the future prospects of this transformative technology.
DOI: 10.54026/ctes/1072
Author: Ubaid Ul Mannan Mohammed
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4408257906