Congestion avoidance in 6G networks with V Gradient Geocast Routing Protocol

Area of Science:

• Computer Science
• Network Engineering
• Telecommunications

Background:

• Dependable internet is essential for modern life, business, and communication.
• Wi-Fi 6 routers are vulnerable to environmental factors like weather, impacting network performance.
• Increased internet demand during poor weather exacerbates network congestion and reduces speeds.

Purpose of the Study:

• To enhance network performance and reliability under unfavorable weather conditions.
• To prioritize traffic, lower latency, and reduce convergence time in 6G networks.
• To develop an effective congestion avoidance model for wireless networks.

Main Methods:

• Implementation of the mini-batch gradient descent optimization algorithm for network optimization.
• Utilizing the V Gradient Geocast Routing Protocol for efficient data routing.
• Developing an enhanced congestion avoidance model tailored for 6G networks.

Main Results:

• The proposed model achieved a high accuracy of 98.85% in congestion avoidance.
• Demonstrated improved network performance under simulated adverse weather conditions.
• Successfully prioritized traffic and reduced latency and convergence time.

Conclusions:

• The V Gradient Geocast Routing Protocol significantly enhances 6G network performance during adverse weather.
• The developed congestion avoidance model offers a robust solution for maintaining internet stability.
• This research contributes to building more resilient and dependable wireless communication systems.