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<p>Reliability correlation can seriously reduce network capacity by causing multiple components to fail at once, which decreases overall reliability. In time-sensitive networks, these failures can be costly, making it crucial to implement techniques that address correlation's impact on reliability. This research focuses on the reliability of multi-state networks (MSNs) and highlights the importance of evaluation methods and measures for assessing performance. A model called the Multi-State Network under Time Constraints (MSNUTC) is introduced to evaluate data transmission reliability under specific conditions. In the MSNUTC, the network's physical links can experience correlated faults while transmitting a specific amount of data from the source node to the sink node within a predetermined time limit. The study analyzes how fault correlation affects the MSNUTC's reliability in timely data delivery. It also explores measures like Birnbaum's Importance, Risk Achievement Worth, and Risk Reduction Worth, which can enhance or reduce performance based on system configuration. A numerical example demonstrates and validates the proposed technique. Additionally, a case study of the Iraqi National Communication Network (INCN) shows that a strong correlation can decrease reliability and increase the importance of components, especially when data volume is near the network's bandwidth and strict time limits apply.</p>

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Analysis of reliability correlation in the national communication multi-state network of Iraq under time constraints

  • 期刊论文

  • 发表日期：

    2025年8月10日

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  • Emad Kareem Mutar,
  • Zahir Abdul Haddi Hassan

摘要

Reliability correlation can seriously reduce network capacity by causing multiple components to fail at once, which decreases overall reliability. In time-sensitive networks, these failures can be costly, making it crucial to implement techniques that address correlation's impact on reliability. This research focuses on the reliability of multi-state networks (MSNs) and highlights the importance of evaluation methods and measures for assessing performance. A model called the Multi-State Network under Time Constraints (MSNUTC) is introduced to evaluate data transmission reliability under specific conditions. In the MSNUTC, the network's physical links can experience correlated faults while transmitting a specific amount of data from the source node to the sink node within a predetermined time limit. The study analyzes how fault correlation affects the MSNUTC's reliability in timely data delivery. It also explores measures like Birnbaum's Importance, Risk Achievement Worth, and Risk Reduction Worth, which can enhance or reduce performance based on system configuration. A numerical example demonstrates and validates the proposed technique. Additionally, a case study of the Iraqi National Communication Network (INCN) shows that a strong correlation can decrease reliability and increase the importance of components, especially when data volume is near the network's bandwidth and strict time limits apply.