Bounding the Demand of Mixed-Criticality Industrial Wireless Sensor Networks
文献类型：期刊论文
| 作者 | Xia ZQ(夏长清); Jin X(金曦) ; Kong LH(孔令和); Zeng P(曾鹏); Xia CQ(夏长清)
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| 刊名 | IEEE Access
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| 出版日期 | 2017 |
| 页码 | 1-12 |
| 关键词 | Industrial networks WSN graph routing mixed-criticality scheduling |
| ISSN号 | 2169-3536 |
| 产权排序 | 1 |
| 通讯作者 | 曾鹏 |
| 中文摘要 | Wireless sensor networks (WSNs) have been widely used in industrial systems. Industrial systems demand a high degree of reliability and real-time requirements in communications. In many industrial wireless sensor networks applications, flows with different levels of criticality coexist in the system. When errors or exceptions occur, high-criticality flows must be guaranteed reliably and in real time. However, only a few works focus on mixed-criticality industrial systems. Concerning this issue, in the current study, we study mixed-criticality industrial systems and propose a supply/demand bound function analysis approach based on earliest deadline first scheduling. In addition, our method considers both source routing and graph routing. At the beginning, when the system is in low-criticality mode, source routing considers the schedulability of each flow. When errors or exceptions occur, the system switches to high-criticality mode, and network routing turns to graph routing to guarantee that important flows can be scheduled. By estimating the demand bound for mixed-criticality systems, we can determine the schedulability of industrial systems. Experiments indicate the effectiveness and efficacy of our approach. |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/20223]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Xia ZQ,Jin X,Kong LH,et al. Bounding the Demand of Mixed-Criticality Industrial Wireless Sensor Networks[J]. IEEE Access,2017:1-12. |
| APA | Xia ZQ,Jin X,Kong LH,Zeng P,&Xia CQ.(2017).Bounding the Demand of Mixed-Criticality Industrial Wireless Sensor Networks.IEEE Access,1-12. |
| MLA | Xia ZQ,et al."Bounding the Demand of Mixed-Criticality Industrial Wireless Sensor Networks".IEEE Access (2017):1-12. |
入库方式： OAI收割
来源：沈阳自动化研究所
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