Abstract
Industrial IoT (IIoT) and Operational Technology (OT) networks lack a mechanism to regulate how much traffic is introduced into the network based on real-time conditions, leading to congestion and degradation of critical communications. The proposal introduces a machine learning–based system that derives a safe transmission rate using cross-layer network telemetry and enforces it at gateways, brokers, or network elements. By enabling predictive and controlled traffic admission, the proposed method ensures stable and reliable operation in industrial environments.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
M M, Niranjan, "Machine Learning Based Safe Transmission Rate Guidance for Industrial IoT and OT Networks", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9851