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

Wireless sensors networks (WSNs) play an important role in life. With the development of 5G, its security issues have also raised concerns. Therefore, it is topic to study offense and defense confrontation WSNs. A complete information static game model established analyze problem WSNs 5G. An adaptive equilibrium optimizer algorithm (AEO) based on parameter strategy proposed, which can jump out local optimal solution better. Experiments show that optimization ability AEO outperforms other algorithms at least 80% 23 classical test functions CEC. The convergence speed better early stage population iteration. offensive defensive under different resources through simulation experiments analyzed. conclusion shows when are large, offender takes indiscriminate attack. When small, defender should defend most elements, allocate same each element obtain maximum benefit. This paper provides new ideas for problems