Real-Time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices

Real-Time Interference Identification via Supervised Learning: Embedding Coexistence Awareness in IoT Devices

Energy sampling-based interference detection and identification (IDI) methods collide with the limitations of commercial off-the-shelf (COTS) IoT hardware. Moreover, long sensing times, complexity, and inability to track concurrent interference strongly inhibit their applicability in most IoT deploy...

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Bibliographic Details
Main Authors: Simone Grimaldi, Aamir Mahmood, Mikael Gidlund
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bluetooth
interference detection and identification
IoT
machine learning
wireless coexistence
wireless sensor networks
Online Access:https://ieeexplore.ieee.org/document/8570750/

Internet

https://ieeexplore.ieee.org/document/8570750/

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