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Task unloading intelligent decision-making method based on unmanned aerial vehicle group in edge computing environment

A technology for edge computing and intelligent decision-making, applied in neural learning methods, biological neural network models, electrical components, etc.

Active Publication Date: 2020-05-15
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, traditional systems often use some heuristic algorithms, which are often unable to solve complex problems, and require a large amount of calculation, which consumes a lot of computing resources; on the contrary, intelligent algorithms that have emerged recently can effectively solve such problems, by introducing deep neural networks. Make the decision-making system automatically learn a reasonable and feasible decision-making plan, but there are still problems such as slow learning speed and poor portability

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  • Task unloading intelligent decision-making method based on unmanned aerial vehicle group in edge computing environment
  • Task unloading intelligent decision-making method based on unmanned aerial vehicle group in edge computing environment
  • Task unloading intelligent decision-making method based on unmanned aerial vehicle group in edge computing environment

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Embodiment Construction

[0025] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0026] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, it indicates There are features, steps, operations, parts or modules, components and / or combinations thereof.

[0027] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in ...

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Abstract

The invention discloses a task unloading intelligent decision-making method based on an unmanned aerial vehicle group in an edge computing environment. The method comprises the following steps that (1) environment information is acquired; (2) meta-learning is carried out, and if it is found that the environment of an edge server or a cloud center changes, initial parameters of the model are modified; (3) a retrieval mechanism and reinforcement learning are carried out, the retrieval mechanism is responsible for retrieving whether similar tasks exist before or not, and if yes, a decision resultis directly output; and if not, reinforcement learning is carried out, the reinforcement learning is responsible for training and judging the whole reinforcement learning system, two used modules arenetwork freezing and experience playback, and the action with the maximum value function after judgment is taken as a decision result to be output. According to the scheme, the meta-learning model isadopted to quickly adapt to the environment, and when the environment of the decision-making system is changed, the scheme can be quickly adjusted and a reasonable result can be quickly given. For the similar tasks of the unmanned aerial vehicle group, a memory function is introduced in the scheme, and rapid decisions can be made for the similar tasks.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle swarm task offloading decision-making, in particular to an intelligent decision-making method for unmanned aerial vehicle swarm-based task offloading in an edge computing environment. Background technique [0002] In recent years, with the maturity of 5G and UAV technology, UAV swarms have been more and more widely used. Through the combination with mobile communication, UAV swarms can provide multiple applications such as image acquisition and information transmission by virtue of its characteristics of not being affected by space and strong responsiveness. However, the limited computing power and UAV cache size hinders its application for mobile applications and results in a large amount of computing processing time. In addition, performing mission calculations on the drone will increase the energy consumption of the mobile device, shorten the battery life, and reduce the usage ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08H04L29/08
CPCG06N3/08H04L67/10G06N3/045
Inventor 曲冠锦吴华明
Owner TIANJIN UNIV
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