MEC下工业AGV的任务卸载策略研究与分析  

Research and analysis on task offloading strategy of industrial AGV under MEC

作　　者：邓依婷 徐曦 王喆 DENG Yi-ting;XU Xi;WANG Zhe(School of Computer Science,Hunan University of Technology,Zhuzhou 412007,Hunan Province,China;Key Laboratory of Intelligent Information Perception and Processing Technology of Hunan Province,Zhuzhou 412007,Hunan Province,China)

机构地区：[1]湖南工业大学计算机学院,湖南株洲412007 [2]智能信息感知及处理技术湖南省重点实验室,湖南株洲412007

出　　处：《信息技术》2023年第1期27-30,36,共5页Information Technology

基　　金：湖南省高校创新平台开放基金项目(19K026);2020年度“智能信息感知及处理技术湖南省重点实验室暨智能感知与信息处理湖南省院士专家工作站”开放课题项目(2020KF02)。

摘　　要：近年来,AGV被广泛运用到智能化工业生产中,但AGV处理能力有限,难以满足人们对高质量服务的要求。为促进AGV在工业领域的快速发展,将移动边缘计算引入工业AGV中,提出了一种基于粒子群优化算法的计算任务卸载策略,以降低系统迟延,该策略考虑任务优先级,根据任务优先级别来卸载计算任务。结果表明,该策略能有效降低系统时延。In recent years, AGV has been widely used in intelligent industrial production, but the processing capacity of AGV is limited, which make it difficult to meet people’s requirements for high-quality service. In order to promote the rapid development of AGV in the industrial field, this paper introduces Mobile Edge Computing into industrial AGV, and proposes a computing task off-loading strategy based on Particle Swarm Optimization algorithm to reduce the system delay. The strategy considers the task priority and offloads the computing task according to the task priority. The results show that the strategy can effectively reduce the system delay.

关 键 词：AGV 移动边缘计算 粒子群优化 任务优先级 任务卸载 

分 类 号：TP302[自动化与计算机技术—计算机系统结构]