Resource allocation method for unmanned aerial vehicle assisted edge computing based on task priority
The invention belongs to the technical field of unmanned aerial vehicle resource allocation, and particularly relates to a resource allocation method for unmanned aerial vehicle assisted edge computing based on task priority. The method comprises the following steps: constructing an Internet of Thin...
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creator | LIU QIAN LYU MING HU FANGXIA CUI YIHUI LI BEI WANG YI LIU JINGCHENG LIANG HAIRONG HUANG DONG LI YUN YOO KI-YEOL LI SONGNONG |
description | The invention belongs to the technical field of unmanned aerial vehicle resource allocation, and particularly relates to a resource allocation method for unmanned aerial vehicle assisted edge computing based on task priority. The method comprises the following steps: constructing an Internet of Things equipment system model of unmanned aerial vehicle assisted edge computing; constructing a communication model, a time delay model and an energy consumption model according to the Internet of Things equipment system model for unmanned aerial vehicle assisted edge calculation; performing priority division on the computing tasks of the Internet of Things equipment by adopting an analytic hierarchy process to obtain priority weights of different computing tasks; constructing a minimum overhead optimization problem according to the priority weight, the communication model, the time delay model and the energy consumption model; solving the minimum overhead optimization problem to obtain a resource allocation result of |
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The method comprises the following steps: constructing an Internet of Things equipment system model of unmanned aerial vehicle assisted edge computing; constructing a communication model, a time delay model and an energy consumption model according to the Internet of Things equipment system model for unmanned aerial vehicle assisted edge calculation; performing priority division on the computing tasks of the Internet of Things equipment by adopting an analytic hierarchy process to obtain priority weights of different computing tasks; constructing a minimum overhead optimization problem according to the priority weight, the communication model, the time delay model and the energy consumption model; solving the minimum overhead optimization problem to obtain a resource allocation result of</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS |
title | Resource allocation method for unmanned aerial vehicle assisted edge computing based on task priority |
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