@misc{12834,
  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.}},
  author       = {{Wan, Jiafu and Yang, Jun and Wang, Shiyong and Li, Di and Li, Peng and Xia, Min}},
  booktitle    = {{IEEE Transactions on Industrial Informatics}},
  issn         = {{1941-0050}},
  keywords     = {{Heterogeneous networks, Real-time systems, Bandwidth, Job shop scheduling, Smart manufacturing, Computer architecture, Cross-network fusion, heterogeneous networks, network resource}},
  number       = {{9}},
  pages        = {{6059--6068}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory}}},
  doi          = {{10.1109/tii.2019.2952669}},
  volume       = {{16}},
  year         = {{2019}},
}