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A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer

Weimin Zheng1, Fanying Meng1, Ning Liu1

  • 1College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
Summary

This study analyzes offense and defense in 5G wireless sensor networks (WSNs) using a game model. It proposes an Adaptive Equilibrium Optimizer (AEO) algorithm, revealing optimal strategies for WSN security challenges.

Keywords:
5GNash equilibriumadaptive equilibrium optimizationgame modelwireless sensor networks

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Area of Science:

  • Computer Science
  • Network Security
  • Artificial Intelligence

Background:

  • Wireless Sensor Networks (WSNs) are crucial but face security challenges with 5G development.
  • Understanding offense-defense dynamics is vital for WSN security in the 5G era.

Purpose of the Study:

  • To model and analyze the offense-defense confrontation in 5G WSNs.
  • To propose an efficient optimization algorithm for WSN security strategies.

Main Methods:

  • A complete information static game model was developed for WSN offense-defense analysis.
  • An Adaptive Equilibrium Optimizer (AEO) algorithm with parameter adaptive strategy was proposed.
  • Simulation experiments were conducted to analyze optimal strategies under varying resource conditions.

Main Results:

  • The AEO algorithm demonstrated superior optimization capabilities compared to other algorithms on benchmark test functions.
  • AEO exhibited faster convergence in early population iterations.
  • Optimal strategies were identified: indiscriminate attacks with high offensive resources, and resource allocation based on defense capacity.

Conclusions:

  • The proposed AEO algorithm offers enhanced optimization for WSN security.
  • Specific offensive and defensive strategies are recommended based on resource availability.
  • This research provides novel solutions for WSN security problems within an offense-defense game framework.