A Co-Scheduling Method for Heterogeneous Resources in the Internet of Things for Electric Power with Counting and Privacy Protection

Conventional resource scheduling methods for the Internet of Things (IoT) of electric power are based on centralized resource scheduling, which do not take into account the specificity of heterogeneous resources and affect the quality of resource scheduling. Therefore, a collaborative scheduling method for heterogeneous resources in power IoT is designed to take privacy protection into account. A fog node is set up for heterogeneous resource co-scheduling of power IoT, and the fog node collects and processes heterogeneous data, transmits key information to the cloud scheduling control center, and realizes global scheduling. The model of collaborative scheduling of heterogeneous resources in power IoT is constructed and distributed privacy protection algorithms are adopted for economic scheduling and privacy protection of heterogeneous resources in power IoT to ensure the security and credibility of the scheduling data. We quantify the blind variables of the cooperative scheduling of heterogeneous resources in the power Internet of Things, analyze the uncertainties in the state, demand and constraints of various heterogen eous resources, and provide comprehensive information support for the cooperative scheduling of resources. Comparative experiments are used to verify that the method has better scheduling effect and can be applied in real life.