{"doi":"10.1109/tii.2019.2952669","author":[{"first_name":"Jiafu","last_name":"Wan","full_name":"Wan, Jiafu"},{"full_name":"Yang, Jun","first_name":"Jun","last_name":"Yang"},{"first_name":"Shiyong","last_name":"Wang","full_name":"Wang, Shiyong"},{"full_name":"Li, Di","last_name":"Li","first_name":"Di"},{"id":"58937","full_name":"Li, Peng","last_name":"Li","first_name":"Peng"},{"first_name":"Min","last_name":"Xia","full_name":"Xia, Min"}],"external_id":{"isi":["000542966300043"]},"publication_identifier":{"issn":["1551-3203"],"eissn":["1941-0050"]},"department":[{"_id":"DEP5023"}],"abstract":[{"text":"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.","lang":"eng"}],"language":[{"iso":"eng"}],"_id":"12834","type":"scientific_journal_article","status":"public","user_id":"83781","date_created":"2025-04-23T08:35:16Z","publication":"IEEE Transactions on Industrial Informatics","keyword":["Heterogeneous networks","Real-time systems","Bandwidth","Job shop scheduling","Smart manufacturing","Computer architecture","Cross-network fusion","heterogeneous networks","network resource"],"volume":16,"place":"New York, NY","page":"6059-6068","citation":{"chicago-de":"Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li und Min Xia. 2019. Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i> 16, Nr. 9: 6059–6068. doi:<a href=\"https://doi.org/10.1109/tii.2019.2952669\">10.1109/tii.2019.2952669</a>, .","bjps":"<b>Wan J <i>et al.</i></b> (2019) Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i> <b>16</b>, 6059–6068.","ufg":"<b>Wan, Jiafu u. a.</b>: Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory, in: <i>IEEE Transactions on Industrial Informatics</i> 16 (2019), H. 9,  S. 6059–6068.","mla":"Wan, Jiafu, et al. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” <i>IEEE Transactions on Industrial Informatics</i>, vol. 16, no. 9, 2019, pp. 6059–68, <a href=\"https://doi.org/10.1109/tii.2019.2952669\">https://doi.org/10.1109/tii.2019.2952669</a>.","chicago":"Wan, Jiafu, Jun Yang, Shiyong Wang, Di Li, Peng Li, and Min Xia. “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory.” <i>IEEE Transactions on Industrial Informatics</i> 16, no. 9 (2019): 6059–68. <a href=\"https://doi.org/10.1109/tii.2019.2952669\">https://doi.org/10.1109/tii.2019.2952669</a>.","short":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, IEEE Transactions on Industrial Informatics 16 (2019) 6059–6068.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Wan, Jiafu</span> ; <span style=\"font-variant:small-caps;\">Yang, Jun</span> ; <span style=\"font-variant:small-caps;\">Wang, Shiyong</span> ; <span style=\"font-variant:small-caps;\">Li, Di</span> ; <span style=\"font-variant:small-caps;\">Li, Peng</span> ; <span style=\"font-variant:small-caps;\">Xia, Min</span>: Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. In: <i>IEEE Transactions on Industrial Informatics</i> Bd. 16. New York, NY, Institute of Electrical and Electronics Engineers (IEEE) (2019), Nr. 9, S. 6059–6068","ama":"Wan J, Yang J, Wang S, Li D, Li P, Xia M. Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i>. 2019;16(9):6059-6068. doi:<a href=\"https://doi.org/10.1109/tii.2019.2952669\">10.1109/tii.2019.2952669</a>","van":"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. 2019;16(9):6059–68.","apa":"Wan, J., Yang, J., Wang, S., Li, D., Li, P., &#38; Xia, M. (2019). Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory. <i>IEEE Transactions on Industrial Informatics</i>, <i>16</i>(9), 6059–6068. <a href=\"https://doi.org/10.1109/tii.2019.2952669\">https://doi.org/10.1109/tii.2019.2952669</a>","ieee":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, and M. Xia, “Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory,” <i>IEEE Transactions on Industrial Informatics</i>, vol. 16, no. 9, pp. 6059–6068, 2019, doi: <a href=\"https://doi.org/10.1109/tii.2019.2952669\">10.1109/tii.2019.2952669</a>.","havard":"J. Wan, J. Yang, S. Wang, D. Li, P. Li, M. Xia, Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory, IEEE Transactions on Industrial Informatics. 16 (2019) 6059–6068."},"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","isi":"1","issue":"9","publication_status":"published","date_updated":"2025-06-26T13:26:20Z","year":"2019","intvolume":"        16","title":"Cross-Network Fusion and Scheduling for Heterogeneous Networks in Smart Factory"}