Research On Routing And Wavelength Assignment Algorithm In Power Optical Network

With the developing of smart grid, a large number of IP data services are emerging in power communication network constantly. Therefore, new requirements are proposed to power communication backbone network. As a representative technology of the next generation optical transmission network, optical transport network (OTN) is the optimal choice to construct a large-capacity electric power communication network. As an important mean of improving network flexibility and optimizing the allocation of resources, routing and wavelength assignment algorithm is one of important problems in the optical network. The aim of routing and wavelength assignment algorithm is improving the utilization of wavelength resources and reducing the blocking probability.Different communication services have different service demands in power system, so it is necessary to realize differentiated service. A business priority based adaptive dynamic routing and wavelength assignment (BPADRWA) is proposed based on the analysis of the power communication network and the routing and wavelength assignment algorithms existed. Firstly, the best wavelength grouping strategy is selected by calculating blocking probability using markov model. And in order to achieve load balancing, BPADRWA updates link weight dynamically. Then the available wavelength amount of lower priority services is adjusted adaptively according to the utilization of wavelengths. The simulation results show that not only the average wavelength utilization is improved, but also the blocking probability of high priority services is guaranteed to be a lower degree and at the same time performance of the low priority services is improved. In order to further optimize the algorithm, a prediction and layered graph model based routing and wavelength assignment (PLGMRWA) is proposed based on BPADRWA. In this algorithm, wavelength resources are allocated according to needs by introducing prediction mechanisms. Furthermore, the routing problem and wavelength assignment problem are solved at the same time by establishing hierarchical graph model Compared with BPARWA, PLGMRWA achieves better blocking performance and optimizes utilization of wavelength resources according to the result of simulation.