Intelligent tuning method of power optical communication network based on service scheduling and QoS guarantee

With the construction and development of smart grid, the reliability and anti-risk capability of power communication network are increasingly required. The traditional service route planning is mainly based on the shortest path algorithm, which leads to the unbalanced distribution of service importance in the power optical communication network. In this paper, an intelligent optimization method of power optical communication network based on service scheduling and QoS guarantee is proposed. RT-ACO (Risk-Time-ACO) routing optimization algorithm is proposed, and ant colony algorithm is improved from three aspects. Firstly, the heuristic function of the model is improved to include risk and delay cost. Then the roulette algorithm is used to improve the selection strategy of the model. Finally, the method of updating pheromone was improved by using the elite strategy. The simulation results show that the path satisfaction of the proposed algorithm is improved by 7.4% compared with the traditional ant colony algorithm, which proves the feasibility and superiority of the algorithm, and provides a reference for ensuring the reliable operation of the power optical fiber communication network system.