Resource optimal allocation decision-making method based on deep reinforcement learning and blockchain consensus

Abstract

The invention discloses a resource optimal allocation decision-making method based on deep reinforcement learning and blockchain consensus. The method comprises the steps: constructing a calculation task model and a server state model; calculating the energy consumption and economic overhead of local calculation and unloading calculation of the main controller, and the calculation economic overhead generated in the blockchain consensus process, thereby guiding and adjusting controller selection, unloading decision, block size and server selection through training a deep neural network and a strategy network, and completing optimal resource allocation in a scene. According to the invention, the problems of industrial Internet data security, over-high energy consumption of equipment due to processing of calculation tasks, short working period, over-high overall economic overhead of the system and the like are solved. Simulation experiments show that the industrial Internet resource optimal allocation decision-making method based on deep reinforcement learning and blockchain consensus has certain advantages in the aspects of saving controller energy consumption and system economic overhead and prolonging the total working duration of a controller group.

Description

technical field [0001] The invention relates to a decision-making method for optimal allocation of industrial Internet resources based on deep reinforcement learning and block chain consensus. Through deep reinforcement learning algorithms, a kind of industrial Internet data in each community is designed in the process of block chain consensus, through optimizing the resource allocation strategy. , a decision-making optimization method that effectively reduces system economic overhead and controller energy consumption, belongs to the related fields of resource allocation and system decision-making. Background technique [0002] Currently, the rapid development of the industrial Internet (Industrial Internet) has attracted a lot of attention from industry and academia. The application of industrial Internet technology realizes the efficient and convenient interaction between machines and machines, and between machines and people. Various types of industrial Internet devices,...

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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