SDN Controller Fault Recovery Strategy Based on Improved Sparrow Search Algorithm

In response to the problem of controller failure in Software Defined Network (SDN), this paper proposes a fault recovery strategy for SDN controllers based on an improved sparrow search algorithm. This strategy simulates the collective intelligence behavior of sparrows during foraging, optimizes the selection and location adjustment of backup controllers, minimizes the propagation delay between switches and controllers, and achieves rapid migration of out of control switches. The experimental results show that compared to existing controller fault recovery algorithms, this algorithm has improved recovery time, controller load utilization, and other aspects.