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Transmission scheduling for mixed-critical multi-user multiple-input and multiple-output industrial cyber-physical systems
Xia CQ(夏长清); Jin X(金曦); Kong LH(孔令和); Wang JT(王金涛); Zeng P(曾鹏)
Department工业控制网络与系统研究室
Source PublicationINTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
ISSN1550-1477
2017
Volume13Issue:12Pages:1-13
Indexed BySCI ; EI
EI Accession number20180104607462
WOS IDWOS:000418649700001
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China ; Youth Innovation Promotion Association CAS
KeywordCyber-physical System Mix-critical Multi-user Multiple-input And Multiple-output Industrial Networks Scheduling
AbstractWireless sensor networks are widely used in industrial cyber-physical system installations, where high reliability and the need for real-time data are the two main characteristics. A large amount of real-time data can be transmitted to its destination on time using a reasonable periodic allocation of a node's transmission slots. However, a flow may miss its deadline when flow conflicts occur. When such missed deadlines occur regularly, system performance may degrade, and when the flow is critical, such data losses can result in errors or cause disasters. To address this issue, we introduce multi-user multiple-input and multiple-output technology and a mixed-critical system into an industrial cyber-physical system. When an error occurs or when demand changes, the multi-user multiple-input and multiple-output nodes can switch their transmission mode, changing to a high-criticality configuration to meet the system's new needs. Hence, we first propose a heterogeneous multi-user multiple-input and multiple-output system model. Based on this model, we propose a slot analyzing algorithm that guarantees system schedulability by reallocating slots for each node after replacing conflict nodes with multi-user multiple-input and multiple-output nodes. By considering both system schedulability and cost, the slot analyzing algorithm also reduces the number of multi-user multiple-input and multiple-output nodes required. Then, to further reduce the number of multi-user multiple-input and multiple-output nodes in an industrial cyber-physical system, we propose a priority inversion algorithm that improves schedulability by adjusting slot allocations before replacing conflict nodes with multi-user multiple-input and multiple-output nodes. By reducing the use of multi-user multiple-input and multiple-output nodes, the priority inversion algorithm achieves better performance than the slot analyzing algorithm when the system is in a high-criticality mode. Evaluation results show the effectiveness and efficacy of our approaches.
Language英语
WOS SubjectComputer Science, Information Systems ; Telecommunications
WOS KeywordMASSIVE MIMO ; NETWORKS ; DESIGN
WOS Research AreaComputer Science ; Telecommunications
Funding ProjectNational Natural Science Foundation of China[61502474] ; National Natural Science Foundation of China[61233007] ; National Natural Science Foundation of China[61672349] ; Youth Innovation Promotion Association CAS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21467
Collection工业控制网络与系统研究室
Corresponding AuthorZeng P(曾鹏)
Affiliation1.CAS Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Shanghai Jiao Tong University, Shanghai, China
3.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Xia CQ,Jin X,Kong LH,et al. Transmission scheduling for mixed-critical multi-user multiple-input and multiple-output industrial cyber-physical systems[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,2017,13(12):1-13.
APA Xia CQ,Jin X,Kong LH,Wang JT,&Zeng P.(2017).Transmission scheduling for mixed-critical multi-user multiple-input and multiple-output industrial cyber-physical systems.INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS,13(12),1-13.
MLA Xia CQ,et al."Transmission scheduling for mixed-critical multi-user multiple-input and multiple-output industrial cyber-physical systems".INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 13.12(2017):1-13.
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