Journal of Northeastern University(Natural Science) ›› 2023, Vol. 44 ›› Issue (2): 192-198.DOI: 10.12068/j.issn.1005-3026.2023.02.006

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SDN-based Multicast Communication Framework for Industrial Internet of Things

XU Jiu-qiang, LU Jia-xi, LI He-qun, ZHAO Hai   

  1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China.
  • Revised:2021-12-17 Accepted:2021-12-17 Published:2023-02-27
  • Contact: LI He-qun
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Abstract: Industrial Internet of things(IIoT)must provide real-time and scalable multicast communication services. IIoT has to transmit data frames to receivers within maximal delay, and at the same time to maximize the number of applications it carries. However, among the existing multicast tree algorithms, the single-source tree algorithm only focuses on real-time performance, and the shared tree algorithm only studies to improve scalability. Algorithms that take both into account need to be further studied. Based on SDN technology, a real-time and scalable multicast communication framework for industrial Internet of things is proposed, and a multicast tree algorithm—k-DCMO is designed for it. k-DCMO algorithm constructs a shared tree with limited delay and minimum overhead for each session, which improves the scalability of multicast, and ensures the real-time performance of the session simultaneously. Experiments show k-DCMO algorithm can provide real-time support that the shared tree algorithm cannot provide, and can obtain better scalability than the single-source tree algorithm. In the experimental topology, the overhead is only 6.2% of the latter.

Key words: industrial Internet of things(IIoT); software-defined networks(SDN); multicast; real-time; scalability

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