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.
Authors
- Aman Raj (ORCID: https://orcid.org/0000-0002-0709-8261)
- Ansh Gupta
- R. Kamal Krishna
- Kuldeep Kumar
- Ashutosh Ashutosh
- Baljeet
Institutions
- Chandigarh University (IN)
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