Low-Latency and Q-Learning-Based Distributed Scheduling Function for Dynamic 6TiSCH Networks

Low-Latency and Q-Learning-Based Distributed Scheduling Function for Dynamic 6TiSCH Networks

Traffic patterns generated by industrial Internet of Things (IIoT) services can be categorized as either periodic or bursty. The minimal scheduling function (MSF), standardized by the 6TiSCH working group, serves as an example of a scheduling function for IEEE 802.15.4e time-slotted channel hopping....

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Bibliographic Details
Main Authors: Yolanda Hertita Pratama, Sang-Hwa Chung, Dzaky Zakiyal Fawwaz
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Industrial IoT
reinforcement learning
scheduling function
time-slotted channel hopping (TSCH)
6TiSCH
Online Access:https://ieeexplore.ieee.org/document/10489973/

Internet

https://ieeexplore.ieee.org/document/10489973/

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