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Machine Learning for IIoT Connectivity Restoration by Smile Alone is a document available to read on EtoBox.

This document presents a machine learning-based connectivity restoration strategy (CRrbf) for Industrial Internet of Things (IIoTs), utilizing a Radial Basis Function Neural Network (RBFNN) and an Unscented Kalman Filter (UKF) to maximize data aggregation ratios while minimizing energy costs. The proposed strategy outperforms traditional distance-based and terrain-based methods in terms of aggregation ratio, network latency, and throughput. The theoretical analysis and simulation results demonstrate the eff

Author

Smile Alone

Language

EN