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| 科研成果 |
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| 论文题目： |
A Hierarchical Data Transmission Framework for Industrial Wireless Sensor and Actuator Networks |
| 第一作者： |
Jin X(金曦);Kong FX(孔繁鑫);Kong LH(孔令和);Wang, Huihui;Xia ZQ(夏长清);Zeng P(曾鹏);Deng QX(邓庆绪) |
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| 发表刊物： |
IEEE Transactions on Industrial Informatics |
| 发表年度： |
2017 |
| 卷,期,页： |
13,4,2019-2029 |
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| 论文摘要： |
A smart factory generates vast amounts of data that require transmission via large-scale wireless networks. Thus, the reliability and real-time performance of large-scale wireless networks are essential for industrial production. A distributed data transmission scheme is suitable for large-scale networks, but is incapable of optimizing performance. By contrast, a centralized scheme relies on knowledge of global information and is hindered by scalability issues. To overcome these limitations, a hybrid scheme is needed. We propose a hierarchical data transmission framework that integrates the advantages of these schemes and makes a trade-off among real-time performance, reliability and scalability. The top level performs coarse-grained management to improve scalability and reliability by coordinating communication resources among subnetworks. The bottom level performs fine-grained management in each subnetwork, for which we propose an intra-subnetwork centralized scheduling algorithm to schedule periodic and aperiodic flows. We conduct both extensive simulations and realistic test-bed experiments. The results indicate that our method has better schedulability and reduces packet loss by up to 22% relative to existing methods. |
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