Research on Optimizing Wireless Mesh Networks for High Throughput, Large Scale Data Streaming Applications

This paper explores methods for optimizing Wireless Mesh Networks (WMNs), with the primary goal of improving throughput and conducting simulation work to evaluate the effectiveness of wireless mesh networks compared to star topology networks in large-scale data stream applications. With the rapid development of wireless camera technology, the limitations of traditional wired cameras have become increasingly evident, while wireless cameras offer significant advantages in layout flexibility and installation complexity. This study analyzes how to achieve the maximum number of simultaneous streaming device connections by improving network architecture, routing algorithms, and optimization techniques. At the same time, it assesses the advantages of wireless mesh networks, particularly in application scenarios such as smart cities, industrial automation, and large-scale video surveillance systems. The research also points out that although WMNs have good scalability, they still face challenges such as interference, signal attenuation, network congestion, and latency. This study provides important references for future technological innovations and network optimizations.