图书馆 | 所内网 | 所长信箱 | English | 中国科学院
站内搜索  
 
首 页 新闻 机构概况 机构设置 科研成果 研究队伍 研究生教育 国际交流 院地合作 学术期刊 创新文化 党群园地 科学传播
 
科研成果
概况介绍
论文
专著
专利
成果转化
研究所图库
园区一角南区办公楼实验楼(R楼)科研楼(A楼)园区一角自动化所鸟瞰自动化所正门
相关链接
ARP Email 所报
 您现在的位置:首页 > 科研成果 >论文
论文题目: Bounding the Demand of Mixed-Criticality Industrial Wireless Sensor Networks
第一作者: Xia ZQ(夏长清);Jin X(金曦);Kong LH(孔令和);Zeng P(曾鹏)
参与作者:
联系作者:
发表刊物: IEEE Access
发表年度: 2017
卷,期,页: 5,,7505-7516
论文出处:
第一作者所在部门:
论文编号:
论文摘要: 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.
论文全文:
其他备注:
附件下载:
 
中国科学院沈阳自动化研究所 版权所有 1996-2009 辽ICP备05000867 联系我们
地址:中国辽宁省沈阳市东陵区南塔街114号 邮编:110016 留言反馈 网站地图