面向工业监控应用的广域异构无线网络端到端时延分析
End-to-end delay analysis in wide-area heterogeneous wireless network for industrial monitoring and control applications
查看参考文献24篇
文摘
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随着无线通信技术的发展, 基于WirelessHART, WIA-PA和ZigBee等协议的无线技术已广泛应用于工业控制领域中. 但由于资金、技术、设备等条件的限制, 在一定时期内会存在多种网络技术并存的情况. 时延分析是一种在网络设计阶段检测网络实时性的有效手段, 而目前没有针对工业广域异构网络进行端到端时延分析的研究. 因此, 本文以面向工业检测和控制应用的广域异构回程网为依托, 对基于IEEE 802.11构建的长距离WIFI, Wireless HART, ZigBee和WIA-PA网络共存环境下的广域异构网络的端到端时延进行理论分析与实验验证. 实验结果表明, 当802.11长距离WIFI回程网节点数目大于25, 网关节点数据聚合周期小于30 ms时, 包含ZigBee子网的广域异构网络时延悲观率在2.3以内, 包含其他子网的广域异构网络时延悲观率在1.5以内, 根据已有的研究分析表明本文的方法具有合理性和有效性. |
其他语种文摘
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With the development of wireless communication, the wireless communication technologies based on WirelessHART, WIA-PA, and ZigBee are used widely in the industrial control field. However, owing to the constraint of capital, technology, equipment, etc., diverse network technologies have long coexisted. Delay analysis is an effective method for detecting real-time network properties in the network design phase. Currently, there is no particular method of analyzing end-to-end transmission delay in wide-area industrial heterogeneous networks. Consequently, based on wide-area heterogeneous backhaul networks with industrial control applications, end-toend delay in wide-area heterogeneous environments, including IEEE 802.11 long-distance WIFI, WirelessHART, ZigBee, and WIA-PA, is analyzed theoretically and verified experimentally. These comparative experiments show that, when the node number of an 802.11 long-distance WIFI backhaul network is greater than 25, and the data aggregation period of the gateway is less than 30 ms, the pessimism ratio is guaranteed to be within 2.3 in the network for ZigBee and within 1.5 for others. The rationale and validity of the method are proved. |
来源
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中国科学. 信息科学
,2015,45(10):1249-1262 【核心库】
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DOI
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10.1360/N112014-00341
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关键词
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工业监控
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异构网
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无线网络
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端到端时延
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地址
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中国科学院沈阳自动化研究所, 中国科学院网络化控制系统重点实验室, 沈阳, 110016
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1674-7267 |
学科
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电子技术、通信技术 |
基金
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中国科学院战略性先导科技专项
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文献收藏号
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CSCD:5549351
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参考文献 共
24
共2页
|
1.
曾鹏. 工业无线网络WIA标准体系与关键技术.
自动化博览,2009,26:24-27
|
被引
5
次
|
|
|
|
2.
芮万智. 网络控制系统研究综述与展望.
信息与控制,2012,41:83-88
|
被引
6
次
|
|
|
|
3.
Raman B. Design and evaluation of a new MAC protocol for long-distance 802.11 mesh networks.
Proceedings of the 11th Annual International Conference on Mobile Computing and Networking,2005:156-169
|
被引
2
次
|
|
|
|
4.
Liang W. Survey and experiments of WIA-PA specification of industrial wireless network.
Wirel Commun Mob Comput,2011,11:1197-1212
|
被引
10
次
|
|
|
|
5.
Soares S. Integrating data governance and big data with business processes.
IBM Data Magazine,2012
|
被引
1
次
|
|
|
|
6.
高志亮.
数字油田在中国-油田物联网技术与进展,2013:117-136
|
被引
1
次
|
|
|
|
7.
Scharbarg J L. Interconnecting can busses via an ethernet backbone.
Fieldbus Syst their Appl,2005,6:206-213
|
被引
1
次
|
|
|
|
8.
Shang Z J. Network calculus based dimensioning for industrial wireless mesh networks.
Appl Mech Mater,2013,303:1989-1995
|
被引
1
次
|
|
|
|
9.
Wang K. A stochastic power network calculus for integrating renewable energy sources into the power grid.
IEEE J Sel Areas Commun,2012,30:1037-1048
|
被引
8
次
|
|
|
|
10.
Hua Y. Scheduling design and analysis for end-to-end heterogeneous ows in an avionics network.
INFOCOM, 2011 Proceedings IEEE,2011:2417-2425
|
被引
1
次
|
|
|
|
11.
Li X. Analysis of the pessimism of the trajectory approach for upper bounding end-to-end delay of sporadic ows sharing a switched Ethernet network.
Proceedings of RTNS,2011:149-158
|
被引
1
次
|
|
|
|
12.
Kemayo G. Optimism due to serialization in the trajectory approach for switched Ethernet networks.
Proc Int Conf Junior Res Workshop Real-Time Comput (JRWRTC),2013:13-16
|
被引
1
次
|
|
|
|
13.
Medlej S.
Scalable Trajectory Approach for ensuring deterministic guarantees in large networks,2013
|
被引
1
次
|
|
|
|
14.
Li X. Worst-case delay analysis on a real-time heterogeneous network.
2012 7th IEEE International Symposium on Industrial Embedded Systems (SIES),2012:11-20
|
被引
1
次
|
|
|
|
15.
Saifullah A. End-to-end delay analysis for fixed priority scheduling in WirelessHART networks.
Proceedings of the 17th IEEE Real-Time and Embedded Technology and Applications Symposium,2011:13-22
|
被引
2
次
|
|
|
|
16.
Saifullah A.
End-to-End communication delay analysis in wirelessHART networks. Technical Report WUCSE-2011-86,2011
|
被引
1
次
|
|
|
|
17.
Jurcik P. Real-time communications over cluster-tree sensor networks with mobile sink behaviour.
Proceedings of the 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications,2008:401-412
|
被引
1
次
|
|
|
|
18.
Schmitt J B. Sensor network calculus-a framework for worst case analysis.
Proceedings of the 1st IEEE International Conference on Distributed Computing in Sensor Systems,2005:141-154
|
被引
1
次
|
|
|
|
19.
Chen F. Real-time enabled IEEE 802.15.4 sensor networks in industrial automation.
Proceedings of the IEEE International Symposium on Industrial Embedded Systems,2009:136-139
|
被引
1
次
|
|
|
|
20.
Yaqoob M M.
Transmission delay of multi-hop heterogeneous networks for medical applications,2012
|
被引
1
次
|
|
|
|
|