Performance Comparison of AI-Based Networks vs Traditional Networks – An Intelligent Framework for Evaluating Modern Network Optimization Techniques
Sameer Sagar
Scholar, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Harsh Trigunayat
Scholar, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Farheen Siddiqui
Assistant Professor, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
📌 DOI: https://doi.org/10.63920/tjths.52022
🔑 Keywords: Artificial Intelligence, Network Optimization, Machine Learning, Traditional Networks, Smart Networking, Network Performance Analysis.
📅 Publication Date: 17 April 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
Modern communication networks are experiencing rapid growth due to the increasing demand for high-speed internet, cloud computing, Internet of Things (IoT), and real-time applications. Traditional networking systems rely on predefined rules and static configurations for network management. However, these conventional approaches often struggle to handle dynamic network traffic, congestion, and security threats efficiently. Artificial Intelligence (AI) has emerged as a powerful technology for improving network performance through intelligent decision-making and automated optimization. AI-based networks utilize machine learning algorithms to analyze network traffic patterns, predict congestion, detect anomalies, and dynamically optimize routing decisions. This research presents a comparative study between AI-based networking systems and traditional networking approaches. The study evaluates performance metrics such as latency, bandwidth utilization, packet loss, network throughput, and scalability. Experimental analysis demonstrates that AI-driven networks provide improved efficiency, better resource utilization, and enhanced adaptability in complex networking environments. The results of this research highlight the potential of AI technologies in transforming modern network infrastructure and enabling smarter, more efficient communication systems
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📖 How to Cite
Sameer S., Harsh T., Farheen S. (2026). Performance Comparison of AI-Based Networks vs Traditional Networks – An Intelligent Framework for Evaluating Modern Network Optimization Techniques. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52022
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