Research And Simulation Of Intelligent Optical Network Protection And Recovery Function

With the progress of society and the improvement of science and technology,the business of power industry in IP communication presents the characteristics of various types,great variability and high demand for business compatibility.In the past,SDH optical communication was the main mode of power network communication.This mode of optical communication would cause excessive redundancy of bandwidth and inadequate utilization of resources.Moreover,it also has the shortcomings of lagging network resource allocation and complex operation procedures.In order to meet the development needs of smart grid in the future,people put forward the concept of intelligent optical network on the basis of IP communication technology,wavelength division multiplexing technology and general multi-protocol label switching technology.By introducing the control plane,the control plane is effectively combined with the existing technology to realize the management of signaling,routing and links in the network.In this way,the survivability of power communication network will be greatly improved,and the future power network will be operated more intelligently and efficiently.Firstly,on the basis of overview of the structure model and advantages of intelligent optical network,this paper analyses the survivability characteristics of optical network.Aiming at the survivability problems of optical network,a routing optimization algorithm is proposed to optimize the protection and recovery functions of optical network.This algorithm is based on ant colony algorithm and fish swarm algorithm,which is a continuation of the traditional shortest path algorithm and takes into account the limitations of bandwidth and time delay.Subsequently,the improved algorithm is theoretically deduced.Finally,the paper focuses on the simulation and comparison of ant colony algorithm,fish swarm algorithm and improved algorithm in the process of protection and recovery.The results show that the improved algorithm has better performance in finding the optimal routing of the intelligent optical network,considering the technical characteristics of the intelligent optical network.