期刊
SENSORS
卷 16, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/s16091376
关键词
mixed criticality; industrial wireless sensor networks; scheduling algorithm; scheduling analysis
资金
- Important National Science and Technology Specific Project [2013ZX03005004]
- National Natural Science Foundation of China [61502474, 61233007]
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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