Few-Shot Transfer Learning-Based Fault Classification in Wireless Sensor Networks

Few-Shot Transfer Learning-Based Fault Classification in Wireless Sensor Networks

This paper introduces a few-shot transfer learning approach to fault classification in wireless sensor networks (WSNs) with a minimal number of fault samples. WSNs are susceptible to various faults, such as drift, stuck, bias, and spike faults, erratic behavior, and data loss, which can compromise s...

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Bibliographic Details
Main Authors: Nouman Ijaz, Md. Nazmul Hasan, Insoo Koo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Wireless sensor networks
few-shot learning
prototypical networks
fault detection
Gramian Angular Field (GAF)
Online Access:https://ieeexplore.ieee.org/document/10942322/
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https://ieeexplore.ieee.org/document/10942322/

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