A Method for IoT Device Management and Traffic Scheduling in Distribution Station Area Based on Distributed SDN Architecture

Abstract

Aiming at the increasing data transmission and computation-intensive analysis and decision-making in the construction of the distribution Internet of Things, an Internet of Things system in the distribution station area based on the distributed SDN architecture is constructed. Including distributed control module, data exchange module and adaptive access of IoT devices, different types of IoT devices can be associated with heterogeneous access points, and exchange information with switches by coordinating multiple controllers. In this paper, the controller transforms the mobile device management and access point assignment problem into a joint optimization problem and solves it using adaptive time windows as a tool. Finally, a deep reinforcement learning traffic scheduling algorithm is used to optimize the capacity of the access point and reduce the delay of data transmission. The simulation results show that the method can find the best access point within the tolerable delay time, realize the interconnection technology of the IoT gateway in the distribution station area, and ensure the stable operation of the business in the distribution station area.