SIA OpenIR  > 工业控制网络与系统研究室
Real-Time Scheduling for Event-Triggered and Time-Triggered Flows in Industrial Wireless Sensor-Actuator Networks
Jin X(金曦)1,2; Saifullah, Abusayeed3; Lu, Chenyang1; Zeng P(曾鹏)2
Department工业控制网络与系统研究室
Conference Name2019 IEEE Conference on Computer Communications, INFOCOM 2019
Conference DateApril 29 - May 2, 2019
Conference PlaceParis, France
Source PublicationIEEE INFOCOM 2019 - IEEE Conference on Computer Communications
PublisherIEEE
Publication PlaceNew York
2019
Pages1684-1692
Indexed ByEI ; CPCI(ISTP)
EI Accession number20192707143129
WOS IDWOS:000480426400188
Contribution Rank1
ISSN0743-166X
ISBN978-1-7281-0515-4
AbstractWireless sensor-actuator networks enable an efficient and cost-effective approach for industrial sensing and control applications. To satisfy the real-time requirement of such applications, these networks adopt centralized scheduling algorithms to optimize the real-time performance based on global information. Existing centralized algorithms mostly focus on scheduling time-triggered flows. They cannot effectively schedule event-triggered flows due to the dynamics and unpredictability of events. In this paper, we propose three fundamental centralized algorithms that reserve as few resources as possible for event-triggered flows such that the real-time performance of time-triggered flows is not affected. We then analyze their advantages and disadvantages. Based on the analysis, we combine their advantages, including those in terms of their resource requirements, into a centralized algorithm. Finally, we conduct extensive simulations based on both real topologies and random topologies. The simulations indicate that for most test cases the schedulability of our combined algorithm is close to optimal solutions.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25236
Collection工业控制网络与系统研究室
Corresponding AuthorJin X(金曦)
Affiliation1.Department of Computer Science and Engineering, Washington University in St. Louis, United States
2.Shenyang Institute of Automation, Chinese Academy of Sciences, China
3.Department of Computer Science, Wayne State University, United States
Recommended Citation
GB/T 7714
Jin X,Saifullah, Abusayeed,Lu, Chenyang,et al. Real-Time Scheduling for Event-Triggered and Time-Triggered Flows in Industrial Wireless Sensor-Actuator Networks[C]. New York:IEEE,2019:1684-1692.
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