Autonomous fault diagnosis for smart home network services

This paper proposes an efficient autonomous fault diagnosis system for connected home. The system takes a model-based approach and initiates an automated fault diagnosis without user intervention when an error is notified from the home network resource management system. Our system performs two fault diagnosis methods of resource probing and code mapping to find the root cause of the error in the resource relation model. Our experiments show that it can identify a smallest set of symptoms effectively and efficiently.