Combined with the demand of the power Internet of things for mass data transmission and processing, based on the clustering algorithm, the power Internet of things is divided into appropriate block grid, the collection with close communication or similar distance and the aggregation node are divided into the same network from the selection of the initial cluster center and the determination of the optimal cluster number K. Each grid runs independently, and the corresponding distributed controller is configured. The communication scheduling between networks is based on the multi-service traffic prediction, which not only avoids the contact between nodes that are too far away, but also makes effective use of bandwidth resources and has a certain "self-healing" function, which provides support for the optimization of subsequent distribution network. The effectiveness of the method is verified by the results of an example.
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