An improved GAC routing algorithm based on SDN

With the continuous digitalization and informationization in power communication network, the demands of processing, storage, and forwarding large amounts of power data are increasing. Adapting to this change, the software defined network, which has high flexibility and programmability, is combined with the power communication network and changed the traditional network architecture. This paper studies in the routing mechanism based on SDN and proposes a genetic ant colony (GAC) routing algorithm, which combines the advantages of genetic algorithm and ant colony algorithm. After getting several preferable solutions produced by rapid search in large scale network, GAC algorithm makes full use of positive feedback to narrow the maximum search times, and then finds the optimal path quickly. Finally, after comparing the GAC routing algorithm with two smart routing strategies, the simulation results show that the speed of the algorithm is improved as well as the efficiency, so that the performance of power communication network can be optimized using the GAC routing algorithm.