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论文题目: Mixed criticality scheduling for industrial wireless sensor networks
第一作者: Jin X(金曦);Xia ZQ(夏长清);Xu HT(徐惠婷);Wang JT(王金涛);Zeng P(曾鹏)
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发表刊物: Sensors (Switzerland)
发表年度: 2016
卷,期,页: 16,9,1-20
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论文摘要: Wireless sensor networks (WSNs) have been widely used in industrial systems. Their real-time performance and reliability are fundamental to industrial production. Many works have studied the two aspects, but only focus on single criticality WSNs. Mixed criticality requirements exist in many advanced applications in which different data flows have different levels of importance (or criticality). In this paper, first, we propose a scheduling algorithm, which guarantees the real-time performance and reliability requirements of data flows with different levels of criticality. The algorithm supports centralized optimization and adaptive adjustment. It is able to improve both the scheduling performance and flexibility. Then, we provide the schedulability test through rigorous theoretical analysis. We conduct extensive simulations, and the results demonstrate that the proposed scheduling algorithm and analysis significantly outperform existing ones.
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