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

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.