Network optimization algorithm for 6G enabled touch-technology system using graph theory

The evolutions in communication technologies demand high-performance processing units and reliable back-hauling lines for the management of vast data in wireless networks. A reliable low-latency network is, therefore, essential for efficient data transfer, system maintenance, and information dissemination. This paper analyzes a backbone network system, for consideration in the real-time deployment and analysis of touch technology interfacing middleware networks. The proposed layer-wise network deployed using graph theory underscores an ultra-reliable, low-latency network design for optimal network performance. The algorithm selects symmetric or asymmetric deployed networks based on the topology and application requirements, ensuring minimum latency. The network optimizes throughput, latency, and data transfer for efficient connectivity between sources and destinations. It connects to controllers and edge devices at the user end, ensuring reliable data transfer and efficient communication. The computational time of the deployed network path between the source and destination end is evaluated and compared with popular algorithms, determining the computational complexity of the deployed network. Finally, the computational complexities between existing network approaches and the proposed deployed network are compared. This paper thus outlines optimal network design for touch technology systems in 6G.