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

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.