物联网学报2026，Vol.10Issue(1)：189-201,13.DOI:10.11959/j.issn.2096-3750.2026.00507
星地协同中基于多智能体的时敏任务调度优化策略
Multi-agent-based time-sensitive task scheduling optimization strategy in satellite-terrestrial collaboration
摘要
Abstract
With the deep integration of intelligent Internet of things technology and 5G/6G communication technology,satellite edge computing(SatEC)offers new computational services to areas with weak terrestrial network coverage through its aerospace collaborative computing network.However,the SatEC system faces dual challenges of unbalanced dynamic resource allocation between satellite and ground and insufficient task priority control under multi-dimensional spatiotemporal constraints.Existing methods have defects in hierarchical decision-making,spatiotemporal feature extrac-tion,and task urgency quantification mapping,which limit the efficiency of time-sensitive task processing.To address this problem,a multi-agent deep reinforcement learning algorithm based on self-attention temporal convolutional networks was proposed in this paper.The algorithm achieved joint optimization of task prioritization and resource allocation by con-structing a multi-agent architecture,employed a hybrid neural network integrating spatiotemporal features to accurately extract dynamic correlation characteristics of satellite-ground collaboration scenarios,and established a dynamic schedul-ing mechanism based on a probabilistic model to synergistically optimize latency constraints and task completion rates.Simulation results show that,compared with the baseline algorithm,the proposed algorithm achieves significant improve-ments in both task completion rate and delay control,demonstrating its effectiveness and superiority in complex satellite edge computing scenarios.关键词
卫星边缘计算/资源分配/任务优先级/自注意力时间卷积网络/多智能体深度强化学习Key words
SatEC/resource allocation/task priority/self-attention temporal convolutional network/multi-agent deep re-inforcement learning分类
信息技术与安全科学引用本文复制引用
陈娟,钟杰,吴宗玲,田谛,陈玉杰..星地协同中基于多智能体的时敏任务调度优化策略[J].物联网学报,2026,10(1):189-201,13.基金项目
四川省网络文化研究中心课题(No.WLWHZX-09) （No.WLWHZX-09）
四川省重点实验室服务科学与创新开放项目(No.KL2411) （No.KL2411）
云南省服务计算重点实验室开放课题(No.YNSC24118) The Project of Sichuan Network Culture Research Center(No.WLWHZX-09),the Open Project of Key Labora-tory Service Science and Innovation of Sichuan Province(No.KL2411),the Foundation of Yunnan Key Laboratory of Service Com-puting(No.YNSC24118) （No.YNSC24118）
