Decision-making method for optimal allocation of resources based on deep reinforcement learning and blockchain consensus

Abstract

The invention discloses a resource optimization allocation decision method based on deep reinforcement learning and block chain consensus. By constructing a computing task model and a server state model, the energy consumption and economic overhead of local computing and offloading computing of the main controller are calculated, and the block chain The computational economic overhead generated by the consensus process can guide the adjustment of controller selection, offloading decision, block size and server selection through training deep neural network and policy network, and complete the optimal resource allocation in the scene. The invention overcomes the problems of industrial Internet data security, high energy consumption of equipment due to processing calculation tasks, short working cycle, and high overall economic cost of the system. Simulation experiments show that the industrial Internet resource optimization allocation decision-making method based on deep reinforcement learning and blockchain consensus proposed by the present invention has certain advantages in saving controller energy consumption, system economic overhead and prolonging the total working time of controller groups.

Description

technical field [0001] The invention relates to a decision-making method for industrial Internet resource optimization and allocation based on deep reinforcement learning and blockchain consensus. Through the deep reinforcement learning algorithm, a method for optimizing resource allocation strategies for industrial Internet data in each community in the process of blockchain consensus is designed. , a decision-making optimization method for effectively reducing system economic overhead and controller energy consumption, belonging to the related fields of resource allocation and system decision-making. Background technique [0002] Currently, the rapid development of the Industrial Internet has attracted a lot of attention from industry and academia. The application of industrial Internet technology realizes efficient and convenient interaction between machines and machines, and between machines and people. Various types of industrial Internet devices, also known as machine...

AI Technical Summary

Problems solved by technology

This method solves the problem of how to determine the optimal resource allocation strategy when there are multiple cells, multiple controllers, multiple base stations, and multiple MEC servers in the scenario, and effectively reduces the energy consumption of the main controller by implementing the optimal resource allocation strategy , system economic overhead, and extend the working hours of the controller group

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