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RETRACTED: Application of artificial bee colony algorithm based on homogenization mapping and collaborative

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This study introduces a novel artificial bee colony algorithm for wireless communication networks. It enhances spectrum allocation, improving data transmission efficiency and security with optimized throughput and utilization rates.

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Area of Science:

  • Wireless Communication
  • Network Optimization
  • Algorithm Design

Background:

  • Existing wireless networks face challenges in spectrum allocation, impacting information transmission efficiency and data security.
  • Optimizing spectrum allocation is crucial for improving network performance and resource utilization.
  • Chaotic time series and bee colony behavior offer unique characteristics for algorithmic development.

Purpose of the Study:

  • To propose an artificial bee colony algorithm for optimizing spectrum allocation in wireless communication networks.
  • To enhance information transmission efficiency and data transmission security.
  • To improve overall network performance through advanced resource management.

Main Methods:

  • Utilized independent correlation characteristics of chaotic time series.
  • Simulated bee collection and control strategies.
  • Developed an artificial bee colony algorithm with uniform mapping and collaborative collection control.
  • Established a composite system of uniformly distributed Chebyshev maps for chaotic traversal search.

Main Results:

  • The proposed algorithm demonstrated superior performance in test functions and optimization search.
  • Achieved network throughput rates exceeding 300 kbps.
  • Reduced security service eavesdropping to below 0.1.
  • Enhanced spectrum utilization rates up to 0.8.

Conclusions:

  • The artificial bee colony algorithm significantly improves spectrum allocation efficiency and data security in wireless networks.
  • The method offers high optimization accuracy and substantial performance gains over comparison algorithms.
  • This advancement supports efficient spectrum resource use and secure data transmission, driving progress in wireless communication spectrum allocation technology.