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Connectivity Analysis of Bipolar Fuzzy Networks

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  • Shu Gong
  • Gang Hua
  • Wei Gao
  • Wubshet Ibrahim

Abstract

Network connectivity is an important factor in data transmission, information sharing, and network defense, and it is a crucial indicator which determines the performance of a network. When a network node or channel contains uncertainties in both positive and negative aspects, the entire network can be modeled with bipolar fuzzy graphs. This paper analyzes the influence of each vertex on the connectivity of the entire network through the definition of the connected state on the bipolar fuzzy graph. The solid results are given, and the new concepts are applied in campus network connectivity analysis. This approach helps to analyze the hidden dangers of the bipolar network, find the weaknesses in the connection, and prevent network attacks in advance.

Suggested Citation

  • Shu Gong & Gang Hua & Wei Gao & Wubshet Ibrahim, 2022. "Connectivity Analysis of Bipolar Fuzzy Networks," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, January.
    • Handle: RePEc:hin:jnlmpe:6398599
    DOI: 10.1155/2022/6398599
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