Title | ||
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Learning-based Co-Design of Distributed Edge Sensing and Transmission for Industrial Cyber-Physical Systems |
Abstract | ||
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Industrial cyber-physical systems (ICPS) refer to an emerging generation of intelligent systems, where distributed data acquisition is of great importance and is influenced by data transmission. In the improvement of the overall performance of sensing accuracy and energy efficiency, sensing and transmission are tightly coupled. Due to the unknown transmission channel states in the harsh industrial... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/INDIN45523.2021.9557472 | 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) |
Keywords | DocType | ISBN |
Temperature sensors,Job shop scheduling,Scheduling algorithms,Simulation,Reinforcement learning,Cyber-physical systems,Sensors | Conference | 978-1-7281-4395-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tiankai Jin | 1 | 0 | 0.34 |
Zhiduo Ji | 2 | 0 | 0.34 |
Shanying Zhu | 3 | 130 | 21.54 |
Cai-Lian Chen | 4 | 831 | 98.98 |