Enhancing Network Performance Through AI-Based Traffic Optimization Techniques

AI may be used to construct a comprehensive framework that can transform network traffic optimization by utilizing methods related to anomaly detection, predictive analytics, and real-time performance monitoring. The ways in which various AI approaches might operate in concert to improve network security, dependability, and efficiency are described in the section that follows. Utilizing past traffic data, predictive analytics anticipates future loads to enable proactive resource management and constantly shifting loads to prevent congestion. This study successfully demonstrates how the application of artificial intelligence may bring about a paradigm change in network traffic optimisation by offering a comprehensive method for resolving contemporary network management issues.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/emergin63207.2024.10961444
Citations
1
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.27
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Enhancing Network Performance Through AI-Based Traffic Optimization Techniques

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1 citations
Traffic Prediction and Management Techniques
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Enhancing Network Performance Through AI-Based Traffic Optimization Techniques

Aman Raj, Ansh Gupta, R. Kamal Krishna, Kuldeep Kumar, Ashutosh Ashutosh, Baljeet
article en
1 citations

Abstract

AI may be used to construct a comprehensive framework that can transform network traffic optimization by utilizing methods related to anomaly detection, predictive analytics, and real-time performance monitoring. The ways in which various AI approaches might operate in concert to improve network security, dependability, and efficiency are described in the section that follows. Utilizing past traffic data, predictive analytics anticipates future loads to enable proactive resource management and constantly shifting loads to prevent congestion. This study successfully demonstrates how the application of artificial intelligence may bring about a paradigm change in network traffic optimisation by offering a comprehensive method for resolving contemporary network management issues.

Chandigarh University (IN)
Openalex Percentile: Top 39%
Traffic Prediction and Management Techniques
0.27
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