Optimization and Performance Evaluation of Wireless Network Topology Based on Electrical Data

Authors

  • Jinyin Peng School of Mechanical and Electrical Engineering, Hainan Vocational University of Science and Technology, Haikou 571126, Hainan, China
  • Xiangjin Zhu Design school, Hainan Vocational University of Science and Technology, Haikou 571126, Hainan, China

Abstract

This paper explores topology optimization and conducts a performance evaluation of wireless networks based on electrical information data. The effectiveness of the topology optimization method based on electrical information data was verified. By applying the FW-PSO algorithm, which is a combination of the Frank-Wolfe (FW) algorithm and Particle Swarm Optimization (PSO), the performance analysis was carried out. The FW-PSO algorithm adopted two attack methods: High-Degree (HD) and Lowest-Degree (LD), and the performance of the FW-PSO algorithm was analyzed. The optimal values of natural connectivity of FW-PSO algorithm, PSO algorithm, DE (Differential Evolution) and feasible direction algorithm reached
9, 8.5, 8.2 and 2 respectively. Simulation results indicate that FW-PSO is more robust than DE and PSO. The FW-PSO algorithm is capable of greatly improving network performance, including transfer rate, energy consumption, security, and other functions.

Keywords: electrical information data, wireless network topology, performance evaluation, structure optimization, particle swarm optimization

Cite As

J. Peng, X. Zhu, "Optimization and Performance Evaluation of Wireless Network Topology Based on Electrical Data",
Engineering Intelligent Systems, vol. 30 no. 4, pp. 299-308 , 2024.




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Published

2024-07-01

Issue

Vol. 32 No. 4 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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