Leveraging Traversal Tree for Node Pair Selection‐Based Reliable IoT Network Construction

ABSTRACT It is a popular practice to enhance the process of integrating new links for the purpose of strengthening IoT network resilience, as measured by traditional indicators like connectivity. Nevertheless, even in relatively small‐scale networks, attempting to connect the two parts of every intended separation by adding every potential link proves to be unfeasible. Since the quantity of potential links to be taken into account will be far greater than the existing links. In practical applications, hasty methods usually lead to very unsatisfactory outcomes. We have devised a simplified approach for representing all relevant divisions. This approach relies on defining the relationship between trimmed structures and divisions. Subsequently, it can identify the nearly optimal set of cuts that encompass all recognized divisions. Consequently, this allows us to determine the optimal set of links to improve connectivity. In tests on benchmark network models, the results demonstrated that this method can attain significant improvements comparable to the optimal method. Notably, the processing time can be decreased by up to a million times in contrast to the ideal strategy, with only a slight increment in the number of added links. When contrasted with commonly used rule‐of‐thumb methods, which are largely ineffective in safeguarding these systems, the proposed method yields nearly flawless results in large networks.

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Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2025-06-07
DOI
https://doi.org/10.1002/cpe.70131
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Traversal Tree for Node Pair Selection‐Based Reliable IoT Network Construction

Bo Xie, Yongqin Zhu
Concurrency and Computation Practice and Experience
Smart Grid Security and Resilience
article

Leveraging Traversal Tree for Node Pair Selection‐Based Reliable IoT Network Construction

Bo Xie, Yongqin Zhu
article en

Abstract

ABSTRACT It is a popular practice to enhance the process of integrating new links for the purpose of strengthening IoT network resilience, as measured by traditional indicators like connectivity. Nevertheless, even in relatively small‐scale networks, attempting to connect the two parts of every intended separation by adding every potential link proves to be unfeasible. Since the quantity of potential links to be taken into account will be far greater than the existing links. In practical applications, hasty methods usually lead to very unsatisfactory outcomes. We have devised a simplified approach for representing all relevant divisions. This approach relies on defining the relationship between trimmed structures and divisions. Subsequently, it can identify the nearly optimal set of cuts that encompass all recognized divisions. Consequently, this allows us to determine the optimal set of links to improve connectivity. In tests on benchmark network models, the results demonstrated that this method can attain significant improvements comparable to the optimal method. Notably, the processing time can be decreased by up to a million times in contrast to the ideal strategy, with only a slight increment in the number of added links. When contrasted with commonly used rule‐of‐thumb methods, which are largely ineffective in safeguarding these systems, the proposed method yields nearly flawless results in large networks.

Concurrency and Computation Practice and ExperienceVol. 37(15-17)
Shanghai Jiao Tong University (CN), Jiaozuo University (CN)
Openalex Percentile: Top 86%
Smart Grid Security and Resilience
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