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AoI-Aware Resource Scheduling for Industrial IoT with Deep Reinforcement Learning

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成果类型:
期刊论文
作者:
Li, Hongzhi;Tang, Lin;Chen, Shengwei;Zheng, Libin;Zhong, Shaohong
通讯作者:
Zhong, SH
作者机构:
[Zhong, SH; Zhong, Shaohong; Zheng, Libin; Chen, Shengwei; Tang, Lin; Li, Hongzhi] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.
通讯机构:
[Zhong, SH ] C
Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Age of Information;resource scheduling;Industrial Internet of Things;deep reinforcement learning
期刊:
Electronics
ISSN:
2079-9292
年:
2024
卷:
13
期:
6
页码:
1104-
基金类别:
Data curation, L.Z.; Funding acquisition, S.Z.; Investigation, L.Z.; Supervision, S.Z.; Validation, H.L. and S.C.; Visualization, H.L.; Writing—original draft, H.L.; Writing—review and editing, H.L. and L.T. All authors have read and agreed to the published version of the manuscript. This paper was supported by the Foundation of the Science and technology project of the Hunan Provincial Department of Education (no. 2021A0178) and Hunan Key Laboratory of Intelligent Logistics Technology (2019TP1015).
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Effective resource scheduling methods in certain scenarios of Industrial Internet of Things are pivotal. In time-sensitive scenarios, Age of Information is a critical indicator for measuring the freshness of data. This paper considers a densely deployed time-sensitive Industrial Internet of Things scenario. The industrial wireless device transmits data packets to the base station with limited channel resources under the constraints of Age of Information. It is assumed that each device has the capacity to store the packets it generates. The device will discard the data to alleviate the data que...

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