A Robust and Sustainable Machine Learning Framework for Indoor Localization in Mobile IoT Networks
This paper proposes a robust and sustainable machine learning framework for indoor localization on mobile devices that applies a discrete-time Kalman Filter that suppresses noise induced by walls and moving human bodies, and introduces the Green Efficiency Index (GEI), which balances positioning accuracy against softwa...
Hanas Subakti, Jehn-Ruey Jiang
· Electronics · 0 citations