Research on Optimization Strategy of Centralized Controller Deployment in Airborne Information Network

Abstract

Aiming at the optimal deployment for controllers under software-defined airborne information network architecture based on logical centralized control, a method of controller placement based on optimized bat algorithm (OBA-CP) is proposed. An integer programming model about multi-controller placement problem is established based on the global average delay, the outage probability of whole network and the controller load imbalance. The variable speed correction factor and Gauss variation perturbation are introduced in the basic bat algorithm to avoid falling into local optimization problems. The optimized allocation scheme of transmission nodes and controllers in the airborne information network is studied through continuous iterative evolution. The simulation results show that the optimization method proposed in this paper can improve the convergence speed and precision, so as to obtain the Pareto optimal solution set and realize the reasonable and effective allocation for multiple controllers in the network. Compared with traditional algorithms, the OBA-CP algorithm has better network performance in network delay, reliability and load balance.

Keywords

• software-defined airborne information network
• controller deployment problem
• multi-objective optimi-zation
• improved bat algorithm