Reliabilty Oriented Business Routing Optimization Algorithm In Power Communication Optical Transmission Network

The rapid development of smart grid technology has not only produced many new power communication services,but also led to the evolution of power communication business in the direction of high capacity and rapid speed.Due to the lack of global consideration and long-term planning for the distribution of business routes in the network,the imbalanced distribution of business in the power communication network becomes increasingly prominent as the quantity of business increases rapidly.In power communication OTN,the main risk of the network business is no longer emergent congestion,but the impact of changes of network structure on business deployment in long-distance transmission scenario,and the situation that business is over-concentrated on a few transmission links.Therefore,it's important to study the routing optimization method of electric power OTN from the perspective of the relations between OSNR and business routing,it also helps in improving the reliability of network and the level of the risk operation.In power communication OTN,optical signal-to-noise ratio is one of the key parameters of the physical layer.The value directly determines the availability of the optical path and is closely related to the error rate of signal transmission.When the value of optical signal-to-noise ratio is too small,the QoS of the service will not meet the requirements,it even will cause completely network interruption.In order to make up for the shortcomings of current business route optimization algorithms,this paper first studies the theoretical analysis and calculation of optical signal-to-noise ratio parameters in OTN,and expands and analyzes the impact of network structure changes on optical signal-to-noise ratio.For the problem of excessive concentration of route distribution in power communication OTN service,this paper proposes a reliability oriented routing optimization algorithm,which takes the risk equalization of the whole network as the goal and considers the delay,optical power and optical signal-to-noise ratio constraints.Based on the principle of genetic algorithm,the idea of simulated annealing and niche evolution is integrated in the process of population evolution.Combining the two methods can provide a rich and diverse range of individuals for solving the problem,while ensuring that the algorithm can converge globally and prevent the algorithm from falling into local optimal,and then improve the routing optimization algorithm to run the efficiency and quality of solution.The goal of the algorithm is to solve the problem of majority local network risks and unbalanced distribution of business routes,and improve the reliability of network operation.