Enhancing Computational Efficiency of Network Reliability with a New Prime Shortest Path Algorithm

To address the increasing demands of modern networks, evaluating computational efficiency of modified network reliability is essential, with minimal paths (MPs) serving as a critical factor. However, traditional approaches to assessing computational efficiency of network reliability often struggle with challenges such as duplicate MPs and sub-path identification, resulting in exponential computational time. In this study, we present a novel algorithm based on the Prime Shortest Path (PSP) approach, which efficiently resolves these challenges by self-detecting and eliminating duplication in polynomial time. This marks a significant improvement over existing methods. The algorithm’s correctness is rigorously validated, and its superior performance is confirmed through a detailed time complexity analysis and comparisons with the leading state-of-the-art algorithms.

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Publication Details

Journal
Technologies
Published
2025-03-07
DOI
https://doi.org/10.3390/technologies13030109
Citations
1
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
1.49

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article

Enhancing Computational Efficiency of Network Reliability with a New Prime Shortest Path Algorithm

Wei‐Chang Yeh, Yunzhi Jiang, Chia‐Ling Huang
1 citations
Technologies
Software-Defined Networks and 5G
1.49
article

Enhancing Computational Efficiency of Network Reliability with a New Prime Shortest Path Algorithm

Wei‐Chang Yeh, Yunzhi Jiang, Chia‐Ling Huang
article en
1 citations

Abstract

To address the increasing demands of modern networks, evaluating computational efficiency of modified network reliability is essential, with minimal paths (MPs) serving as a critical factor. However, traditional approaches to assessing computational efficiency of network reliability often struggle with challenges such as duplicate MPs and sub-path identification, resulting in exponential computational time. In this study, we present a novel algorithm based on the Prime Shortest Path (PSP) approach, which efficiently resolves these challenges by self-detecting and eliminating duplication in polynomial time. This marks a significant improvement over existing methods. The algorithm’s correctness is rigorously validated, and its superior performance is confirmed through a detailed time complexity analysis and comparisons with the leading state-of-the-art algorithms.

TechnologiesVol. 13(3)
Kainan University (TW), National Tsing Hua University (TW), Guangdong Polytechnic Normal University (CN)
National Science Council, Department of Education of Guangdong Province
Openalex Percentile: Top 20%
Software-Defined Networks and 5G
1.49
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