A Threshold-Triggered Deep Q-Network-Based Framework for Self-Healing in Autonomic Software-Defined IIoT-Edge Networks
Published:Dec 16, 2025 11:11
•1 min read
•ArXiv
Analysis
This article presents a research paper focusing on a specific technical solution for self-healing in a particular type of network. The title is highly technical and suggests a complex approach using deep reinforcement learning. The focus is on the Industrial Internet of Things (IIoT) and edge computing, indicating a practical application domain.
Key Takeaways
- •Focuses on self-healing in IIoT-Edge networks.
- •Employs a Deep Q-Network (DQN) for the self-healing mechanism.
- •Uses a threshold-triggered approach.
- •Applies to autonomic and software-defined networks.
Reference
“The article is a research paper, so a direct quote isn't applicable without further context. The core concept revolves around using a Deep Q-Network (DQN) to enable self-healing capabilities in IIoT-Edge networks.”