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An Advanced Algorithm for Higher Network Navigation in Social Internet of Things Using Small-World Networks.

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Summary
This summary is machine-generated.

The Social Internet of Things (SIoT) faces scalability challenges. This study introduces an algorithm improving object navigability in SIoT networks by optimizing link selection, reducing path lengths and enhancing clustering coefficients.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Internet of Things

Background:

  • The Internet of Things (IoT) connects numerous devices, leading to scalability issues in service discovery.
  • The Social Internet of Things (SIoT) integrates social networking concepts to enhance IoT functionality.
  • Exponential growth of heterogeneous devices exacerbates search difficulties within SIoT domains.

Purpose of the Study:

  • To address the link selection problem in the Social Internet of Things (SIoT).
  • To propose an algorithm that enhances object navigability and service discovery efficiency in SIoT.
  • To improve the performance analysis of services within SIoT domains through rule imposition.

Main Methods:

  • Developed a novel algorithm based on small-world network properties like clustering coefficients and path lengths.
  • Implemented link selection strategies by restricting object connections and managing existing links.
  • Conducted experiments using real-world network datasets from social networking platforms (Brightkite, Facebook).

Main Results:

  • The proposed algorithm demonstrated efficiency in reducing path length within SIoT networks.
  • A significant increase in the average clustering coefficient was observed, indicating improved network cohesion.
  • The algorithm facilitates easier network navigation for both individual nodes and entire networks.

Conclusions:

  • The developed algorithm effectively enhances object navigability in the Social Internet of Things.
  • Optimized link selection in SIoT leads to improved network performance and scalability.
  • The findings suggest a practical approach for managing complex, large-scale SIoT environments.