International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI Powered Digital Twin for Self Healing Networks |
|---|---|
| ABSTRACT | Modern distributed and edge networks face complexity in fault detection, congestion control, and performance optimization. Traditional systems cannot adapt or automate recovery. AI driven Digital Twins enable real time prediction, simulation, and autonomous fault management. This paper proposes NeuroTwinNet, an AI driven digital twin that mirrors live network states and performs predictive maintenance using AI models. It supports scalable deployment in SDN, IoT, and 5G edge networks, enhancing reliability and resilience. Existing digital twins focus mainly on monitoring or simulation without autonomous correction, and current models cannot adapt to dynamic network behavior in real time. The system uses a Random Forest classifier and a live topology graph to create a feedback loop between the real and virtual network, predicting anomalies, optimizing routing, and recovering nodes autonomously. Experimental results on a Mininet/Ryu based testbed show that the classifier achieves approximately 97% test accuracy and recovers injected link failures in under three seconds with zero observable packet loss. |
| AUTHOR | GUNDLA NARSIMHA RAJ, DR. K. SURESH BABU Post Graduate Student, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, India Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, India |
| VOLUME | 186 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1407051 |
| pdf/51_AI Powered Digital Twin for Self Healing Networks.pdf | |
| KEYWORDS | |
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