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Digital Twin-Driven Scheduling in IEEE 802.15.4e TSCH Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 105 |
| Year of Publication: 2026 |
| Authors: Md. Niaz Morshedul Haque |
10.5120/ijcafa7533bb8c0c
|
Md. Niaz Morshedul Haque . Digital Twin-Driven Scheduling in IEEE 802.15.4e TSCH Networks. International Journal of Computer Applications. 187, 105 ( May 2026), 14-20. DOI=10.5120/ijcafa7533bb8c0c
Abstract
IEEE 802.15.4e Time-Slotted Channel Hopping (TSCH) is widely used in Industrial Internet of Things (IIoT) systems due to its reliability and energy-efficient communication. However, efficient scheduling in TSCH networks remains a challenging task, particularly in balancing throughput and delay. In this paper, a digital twin (DT)-based scheduling framework is proposed to address this issue. The scheduling problem is formulated as a maximum-weight bipartite matching model, where link-to-cell assignments are optimized using the Hungarian algorithm within the digital twin environment. The DT replicates the behavior of the physical network and generates labeled data, which is used to train a deep neural network (DNN) for fast scheduling decisions. Simulation results demonstrate that the proposed approach achieves near-optimal performance compared to the Hungarian method while significantly reducing computational complexity. The results highlight the effectiveness of digital twin technology for efficient and scalable TSCH network management.
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