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Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory

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Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. / Wan, J.; Yang, J.; Wang, S. et al.
In: IEEE Transactions on Industrial Informatics, Vol. 16, No. 9, 01.09.2020, p. 6059-6068.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wan, J, Yang, J, Wang, S, Li, D, Li, P & Xia, M 2020, 'Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory', IEEE Transactions on Industrial Informatics, vol. 16, no. 9, pp. 6059-6068. https://doi.org/10.1109/TII.2019.2952669

APA

Wan, J., Yang, J., Wang, S., Li, D., Li, P., & Xia, M. (2020). Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial Informatics, 16(9), 6059-6068. https://doi.org/10.1109/TII.2019.2952669

Vancouver

Wan J, Yang J, Wang S, Li D, Li P, Xia M. Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. IEEE Transactions on Industrial Informatics. 2020 Sept 1;16(9):6059-6068. Epub 2019 Nov 11. doi: 10.1109/TII.2019.2952669

Author

Wan, J. ; Yang, J. ; Wang, S. et al. / Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. In: IEEE Transactions on Industrial Informatics. 2020 ; Vol. 16, No. 9. pp. 6059-6068.

Bibtex

@article{a28a033cc6f347de88cbf05de41ae874,
title = "Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory",
abstract = "In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform. {\textcopyright} 2005-2012 IEEE.",
keywords = "Cross-network fusion, heterogeneous networks, network resource scheduling, smart factory, software-defined network (SDN), Bandwidth, Data flow analysis, Data transfer, Dynamics, Electronic data interchange, Heterogeneous networks, Manufacture, Network architecture, Scheduling, Advanced manufacturing, Bandwidth requirement, Delay sensitive, Intelligent manufacturing system, Network bandwidth, Network resource, Network transmission, Real time requirement, Scheduling algorithms",
author = "J. Wan and J. Yang and S. Wang and D. Li and P. Li and M. Xia",
year = "2020",
month = sep,
day = "1",
doi = "10.1109/TII.2019.2952669",
language = "English",
volume = "16",
pages = "6059--6068",
journal = "IEEE Transactions on Industrial Informatics",
issn = "1551-3203",
publisher = "IEEE Computer Society",
number = "9",

}

RIS

TY - JOUR

T1 - Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory

AU - Wan, J.

AU - Yang, J.

AU - Wang, S.

AU - Li, D.

AU - Li, P.

AU - Xia, M.

PY - 2020/9/1

Y1 - 2020/9/1

N2 - In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform. © 2005-2012 IEEE.

AB - In the context of Industry 4.0, extensive deployment and application of advanced manufacturing equipment and various sensors is leading to a growing demand for data exchange between different devices. In smart factories, network transmission has multiprotocol features of wired/wireless communication, and different data flows have different real-time requirements. In this article, a heterogeneous network architecture based on software-defined network is proposed for realizing cross-network flexible forwarding of multisource manufacturing data and optimized utilization of network resources. Subsequently, the mechanism of cross-network fusion and scheduling (CNFS) is analyzed from the perspective of high dynamic characteristics and different delay requirements of data flows. Based on this analysis, a route-aware data flow dynamic reconstruction algorithm is proposed. The proposed algorithm improves the efficiency of manufacturing data cross-network fusion, especially for multivariety and small-batch intelligent manufacturing systems. Furthermore, for meeting the bandwidth requirements of different delay flows, a delay-sensitive network bandwidth scheduling algorithm is proposed. Finally, the effectiveness of the proposed CNFS mechanism is verified using a candy packaging intelligent production line prototype platform. © 2005-2012 IEEE.

KW - Cross-network fusion

KW - heterogeneous networks

KW - network resource scheduling

KW - smart factory

KW - software-defined network (SDN)

KW - Bandwidth

KW - Data flow analysis

KW - Data transfer

KW - Dynamics

KW - Electronic data interchange

KW - Heterogeneous networks

KW - Manufacture

KW - Network architecture

KW - Scheduling

KW - Advanced manufacturing

KW - Bandwidth requirement

KW - Delay sensitive

KW - Intelligent manufacturing system

KW - Network bandwidth

KW - Network resource

KW - Network transmission

KW - Real time requirement

KW - Scheduling algorithms

U2 - 10.1109/TII.2019.2952669

DO - 10.1109/TII.2019.2952669

M3 - Journal article

VL - 16

SP - 6059

EP - 6068

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

SN - 1551-3203

IS - 9

ER -