Communication Scheduling Strategy for the Power Distribution and Consumption Internet of Things Based on Dynamic Priority

Massive access of the Power Distribution and Consumption Internet of Things(PD-IoT) application data to the edge IoT gateway will cause the accumulation and loss of application data packets, which will affect the normal operation of the power system. In this regard, this paper proposes a dynamic priority-based communication scheduling strategy for the PD-IoT to meet the communication needs of different applications. Firstly, a multi-priority application queuing model is established based on the application communication value, and the average queuing time of the edge IoT gateway for processing and forwarding the PD-IoT application data is calculated to provide a theoretical basis for application scheduling. Then, a communication scheduling strategy based on dynamic priority is proposed. A dynamic priority factor is introduced based on the application remaining value density and the urgency of execution, added by a preemption threshold set under the application preemption mechanism. Finally, it is verified through OPNET simulation that the communication scheduling strategy proposed in this paper can not only take into account the communication needs of different PD-IoT applications, reduce the processing delay of information collection applications, but also improve the overall reliability and efficiency of communication when massive application data is accessed.