Affiliations: School of Electronic Information Engineering, Xi’an Technological University, Xi’an, Shaanxi, China
Correspondence:
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Corresponding author: Lichun He, School of Electronic Information Engineering, Xi’an Technological University, Xi’an, Shaanxi 710000, China. E-mail: [email protected].
Abstract: Due to the convergence defect of the existing SDN social network node topology location methods, there is a large node topology location error problem. In order to solve the above problems, this paper proposes a topology location method of SDN social network nodes based on ant colony algorithm. Firstly, the ant colony algorithm is introduced, and then the biological principle of ant colony algorithm is analyzed to determine the basic steps of ant colony algorithm. According to the number of mobile beacon launch positions and specific launch coordinates in ROI, ant colony algorithm is introduced into the mobile beacon path acquisition program to realize SDN node topology location based on ant colony algorithm. The experimental results show that under the background of node communication radius of 2.0 and 5.0, the node topology positioning errors of this method are small, and the minimum errors are 9.10% and 5.15% respectively. It is fully proved that this method has good node topology positioning effect.
Keywords: Ant colony algorithm, SDN social network, node topology, positioning method
