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@article{186180,
        author = {Manju and Dr.V.k. Srivastava},
        title = {Self-Healing IOT Network Based AI-Driven Fault Detection and Recovery},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {743-754},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186180},
        abstract = {The proliferation of the Internet of Things (IoT) has led to the development of complex and interconnected systems that are vulnerable to various faults and failures. Ensuring the reliability and resilience of such systems is critical. This paper presents a novel approach for designing a self-healing IoT network driven by artificial intelligence (AI) for efficient fault detection and recovery. The proposed system leverages machine learning models and predictive analytics to identify faults, analyze their root causes, and autonomously implement recovery strategies. Experimental results demonstrate significant improvements in fault tolerance, system reliability, and overall performance.},
        keywords = {Self-healing, IoT, AI, Fault Detection, Recovery, Machine Learning, Fault Tolerance},
        month = {November},
        }