Research and application of communication network congestion optimization method

Network congestion can lead to various problems including economic losses, information leakage and other security issues. This paper proposes a model system to optimize networks. The system is composed of three functional modules: congestion state parameter calculation, optimization modeling, and redundancy filtering. The calculation model of the request event and queue length of response is given; a game coordination strategy algorithm is studied, and a coordination model for regional optimization of communication signals is established; a redundant information filtering method is proposed for redundant request events and responses. The optimized network model system is used in local area network communication, and the results show that the system can fully cooperate with each local area network and routing ports, so that the communication signals in a certain area can be coordinated and optimized. This paper simulated the communication scenarios under different coordination probabilities. The results show that a higher coordination probability can enhance the communication effect. Its advantages include: higher fidelity; lower distortion; faster speed; smaller data volume. Compared with the existing mainstream methods, the proposed game coordination optimization algorithm performs better in terms of communication accuracy, communication speed and anti-interference ability. Specifically, the communication accuracy reaches 92.32% and the communication speed reaches 2.12 milliseconds. These researches provide strong methods and supports in the fields of emergency, fire alarm, encrypted transmission, military communication, resource optimization and scheduling.