EMI-veerkrachtige sensor- en communicatienetwerken: Meerlaagse coderingstechnieken

Modern communication networks are increasingly deployed in safety-critical environments, such as hospitals, where electromagnetic interference (EMI) can compromise dependable operation and endanger patient well-being. Ensuring resilience against EMI is therefore not only a technical challenge but also a requirement for safety and regulatory compliance. This dissertation develops and evaluates a multi-layer framework for EMI-resilient communication networks, with a focus on wired links. Building on classical error detection and correction methods, such as Triple Modular Redundancy (TMR), Hamming codes, and Cyclic Redundancy Checks (CRC), the study introduces new combinations and extensions to address limitations of individual techniques. An in-house reciprocity-based statistical simulation framework was developed to characterize system performance under diverse EMI scenarios. This framework enabled systematic evaluation of error rates, warning propagation, and resilience trade-offs across a wide range of signal-to-interference ratios (SIR) and disturbance conditions. The results reveal that single-layer methods provide limited protection, as each technique is vulnerable to specific failure modes. In contrast, multi-layer solutions significantly improve dependable performance by reducing both false negatives (errors present but not detected) and false positives (errors flagged but none present). The analysis highlights the fundamental trade-off between safety and availability, showing that a carefully designed multi-layer strategy can provide a practical compromise. Case studies, including the integration of codebook methods with a single-line EMI detector, demonstrate the potential for adaptive and robust designs in real-world conditions. The main contributions of this work are: (i) a structured simulation framework for EMI-resilience assessment, (ii) an in-depth study of warning propagation mechanisms, (iii) the proposal and validation of multi-layer combinations, and (iv) a valorization analysis linking technical advances to societal and industrial needs. Overall, this dissertation establishes a systematic methodology for quantifying and enhancing electromagnetic resilience in communication networks. It provides both theoretical insights and practical directions for improving the safety and availability of critical systems, paving the way for future integration into hardware implementations, dynamic warning systems, and risk-based EMC standards.