Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
