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

Research output: Contribution to journalJournal article

Published
  • J. Wan
  • J. Yang
  • S. Wang
  • D. Li
  • P. Li
  • M. Xia
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<mark>Journal publication date</mark>1/09/2020
<mark>Journal</mark>IEEE Transactions on Industrial Informatics
Issue number9
Volume16
Number of pages10
Pages (from-to)6059-6068
Publication statusPublished
Early online date11/11/19
Original languageEnglish

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. © 2005-2012 IEEE.