Abstract
With Internet entering all walks of life, development of internet and usage expansion demand better performance, especially the application of 5G network that adopts NAS networking mode. Some of the network bandwidth cannot fully support the current network demand, which causes network fluctuations and other concerns. In this paper, a method for optimizing the topological structure of the bottom layer of the communication network is proposed that has outage performance close to optimal routing scheme. In specific, path in areas with poor network conditions is first optimized using Viterbi algorithm. Then, network element nodes on the path are optimized using Bayes recommendation algorithm for reasonable flow distribution. Dual planning of improved Viterbi algorithm is used to realize the main and standby path planning, and then, Bayesian recommendation algorithm based on the average value is used to optimize the network elements. Therefore, it is very efficient to realize overall performance optimization.
Highlights
Network topology refers to the physical layout of interconnecting various devices with transmission media, that is, how to connect computers and other devices in the network
This research starts from practical applications and improves the performance of the network from three perspectives, namely, (1) starting from the situation where the network element is not restricted by the forwarding, the path planning method is proposed to the maximum; (2) individual optimization of network elements that are overlooked ensures the forwarding efficiency of the network; and (3) the comprehensive consideration and the addition of manual evaluation indicators can better cope with some special scenarios
According to the evaluation report of the entire network, we find out the network elements that need to be improved
Summary
Network topology refers to the physical layout of interconnecting various devices with transmission media, that is, how to connect computers and other devices in the network. Choose the most suitable path from them to meet our network needs, thereby improving the overall network conditions. The above algorithms have improved the network status to a certain extent, but in the application process, most operators still tend to use manual practical experience This leads to the fact that the overall network status has not been obtained. This research starts from practical applications and improves the performance of the network from three perspectives, namely, (1) starting from the situation where the network element is not restricted by the forwarding, the path planning method is proposed to the maximum; (2) individual optimization of network elements that are overlooked ensures the forwarding efficiency of the network; and (3) the comprehensive consideration and the addition of manual evaluation indicators can better cope with some special scenarios
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