Computer Communication Network Delay and Traffic Distribution Based on Neural Network Technology

With the rapid development of the current wireless communication and the Internet, the number of mobile devices access is increasing day by day, people adapt to the mobile Internet life, but also put forward higher requirements for the transmission quality and transmission rate of the wireless communication system. This paper aims to study the delay and traffic distribution of computer communication networks based on neural network technologies. This paper combines the network distribution technology and the load balancing technology to introduce the network traffic distribution mechanism in heterogeneous networks. A traffic allocation (NDBFA) algorithm based on network comprehensive delay is proposed. By analyzing the difference of the average delay variation in the heterogeneous network, correcting the shortcomings of the link delay traffic distribution algorithm, the simulation to verify that NDBFA can balance the business distribution in each network, especially in the heterogeneous network network services reach saturation throughput, the distribution algorithm has good distribution performance. A traffic allocation (LBFA) algorithm based on network load condition is proposed. This paper compares the packet delay performance and proves that the neural network prediction can effectively improve the network performance, reduce the delay of high priority services, and ensure the network quality of service.