Developing a Low-Order Statistical Feature Set Based on Received Samples for Signal Classification in Wireless Sensor Networks and Edge Devices

Developing a Low-Order Statistical Feature Set Based on Received Samples for Signal Classification in Wireless Sensor Networks and Edge Devices

Classifying fluctuating operating wireless environments can be crucial for successfully delivering authentic and confidential packets and for identifying legitimate signals. This study utilizes raw in-phase (I) and quadrature-phase (Q) samples, exclusively, to develop a low-order statistical feature...

Full description

Bibliographic Details
Main Authors: George D. O’Mahony, Kevin G. McCarthy, Philip J. Harris, Colin C. Murphy
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:IoT
Subjects:
classification
decision tree
edge devices
IoT
machine learning
WSNs
Online Access:https://www.mdpi.com/2624-831X/2/3/23

Similar Items

Similar Items