Design And Im Plementation Of Route Optimization Module Based On Active And Standby Disjoint Routes In Power Communication Optical Transmission Network

With the continuous development of OTN technology,the important services carried in the network are also increasing.To ensure the safe and stable operation of the network,it is necessary to dually configure the critical routes.At present,the choice of active and standby routes in the network has the same links and the same devices.If such devices fail,the network will be at risk.At the same time,in the OTN network,optical damage in ultra-long-distance transmission is highly susceptible to signal quality.The optical signal-to-noise ratio OSNR of the physical layer parameter is an important factor to measure the signal transmission quality.Once the value is too small,the bit error rate will greatly increase.The research optimization objectives of traditional route optimization algorithms mainly focus on delay,hops,etc.There is no comprehensive consideration of factors such as disparity between main and standby routes,OSNR,etc.This function is also lacking in common simulation optimization software.Therefore,designing routing optimization algorithm based on factors such as OSNR and the intersection degree of the dual routes and developing routing optimization system module based on the algorithm are of great significance for ensuring the safe and stable operation of the network.Firstly,this paper analyzes the common indicators and constraints in the route optimization algorithm,then builds the algorithm model with the minimum of the intersection of the active and standby routes of the whole network and the lowest latency of the whole network as its optimization goal,and with the OSNR value and the number of links to bear the service are used as the constraints.Then the hybrid ACO and PSO algorithm is designed to solve the target problem.In this process,the heuristic information in the ant colony algorithm path selection formula is designed for ants to select paths with shorter delay and larger output OSNR value,when the constraint condition is satisfied.After several iterations,the K initial paths are selected as the alternative route solution set,and then the particle swarm optimization algorithm is used to solve the multi-objective optimization problem by selecting master-slave disjoint routing pairs.Simulation experiments results show that the proposed master-slave routing optimization algorithm can reduce the intersection of the active and standby routes of the whole network and ensure the number of OSNR and optical link bearer services can meet the requirements,then reduce the risks of the network.Furthermore,based on the algorithm proposed in this paper,the service routing optimization module based on the master-slave disjoint is developed and implemented in the system through demand analysis and summary design.The module mainly includes network topology information display function,current network resource management function,service availability analysis function based on OSNR calculation,and service route optimization function.It has been verified that the system module can provide a powerful reference guide for network management,which helps to improve the security,reliability and stability of the network,and has certain practical significance.