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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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