Artificial Intelligence Driven Integrated Wireless Sensor Network, Industrial Ethernet, and Non-Orthogonal Multiple Access for Secure Nuclear Power Plants

Wireless Sensor Networks (WSNs) have recently garnered attention for various applications in Nuclear Power Plants (NPPs), such as radiation monitoring, data acquisition, instrumentation, control, and fault diagnosis. This study suggests an integrated solution for NPP's WSN by combining WSN, Industrial Ethernet (IE), and Non-Orthogonal Multiple Access (NOMA) to enhance performance, prolong lifespan, and improve security. It also incorporates Artificial Intelligence (AI)-driven decision making to speed up routing of the NPP's WSN in both indoor and outdoor environments. This research work proposes the development of an international radiation monitoring network for robust international nuclear Defense in Depth (DiD). Evaluation with various simulated WSNs has shown the viability of the proposed approach, effectively monitoring data even in scenarios with similar response patterns across multiple process variables.