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SIA OpenIR  > 工业控制网络与系统研究室  > 期刊论文
题名:
Mixed criticality scheduling for industrial wireless sensor networks
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)
作者部门: 工业控制网络与系统研究室
通讯作者: 曾鹏
关键词: mixed criticality ; industrial wireless sensor networks ; scheduling algorithm ; scheduling analysis
刊名: Sensors (Switzerland)
ISSN号: 1424-8220
出版日期: 2016
卷号: 16, 期号:9, 页码:1-20
收录类别: SCI ; EI
产权排序: 1
项目资助者: Important National Science and Technology Specific Project (2013ZX03005004) and the National Natural Science Foundation of China (61502474 and 61233007).
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.
语种: 英语
EI收录号: 20163702786498
WOS记录号: WOS:000385527700037
WOS标题词: Science & Technology ; Physical Sciences ; Technology
类目[WOS]: Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
关键词[WOS]: TIME ; PERFORMANCE
研究领域[WOS]: Chemistry ; Electrochemistry ; Instruments & Instrumentation
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19185
Appears in Collections:工业控制网络与系统研究室_期刊论文

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Recommended Citation:
Jin X,Xia ZQ,Xu HT,et al. Mixed criticality scheduling for industrial wireless sensor networks[J]. Sensors (Switzerland),2016,16(9):1-20.
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