Fuzzy logic adaptive clustering with ML-based collision avoidance for wireless networks

Key Points

• Collision avoidance enhances wireless network performance and stability.
• The adaptive clustering method uses fuzzy logic to manage network nodes efficiently.
• Machine learning algorithms improve decision-making processes for collision avoidance in dynamic environments.
• Implementing this method may enable better resource utilization and user experience in wireless communication.