Lora networking techniques for large-scale and long-term iot: A down-to-top survey

C Li, Z Cao - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Low-Power Wide-Area Networks (LPWANs) are an emerging Internet-of-Things (IoT)
paradigm, which caters to large-scale and long-term sensory data collection demand …

Recent advances in LoRa: A comprehensive survey

Z Sun, H Yang, K Liu, Z Yin, Z Li, W Xu - ACM Transactions on Sensor …, 2022 - dl.acm.org
The vast demand for diverse applications raises new networking challenges, which have
encouraged the development of a new paradigm of Internet of Things (IoT), eg, LoRa. LoRa …

Towards scalable and channel-robust radio frequency fingerprint identification for LoRa

G Shen, J Zhang, A Marshall… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is a promising device authentication
technique based on transmitter hardware impairments. The device-specific hardware …

Radio frequency fingerprint identification for LoRa using deep learning

G Shen, J Zhang, A Marshall, L Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) is an emerging device authentication
technique that relies on the intrinsic hardware characteristics of wireless devices. This paper …

Few-shot specific emitter identification via deep metric ensemble learning

Y Wang, G Gui, Y Lin, HC Wu, C Yuen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Specific emitter identification (SEI) is a highly potential technology for physical-layer
authentication that is one of the most critical supplements for the upper-layer authentication …

Radio frequency fingerprint identification for narrowband systems, modelling and classification

J Zhang, R Woods, M Sandell… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Device authentication is essential for securing Internet of things. Radio frequency fingerprint
identification (RFFI) is an emerging technique that exploits intrinsic and unique hardware …

Physical layer security for authentication, confidentiality, and malicious node detection: a paradigm shift in securing IoT networks

E Illi, M Qaraqe, S Althunibat… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The pervasiveness of commercial Internet of Things (IoT) around the globe is expected to
reach significant levels with the upcoming sixth generation of mobile networks (6G) …

LoRa device fingerprinting in the wild: Disclosing RF data-driven fingerprint sensitivity to deployment variability

A Elmaghbub, B Hamdaoui - IEEE Access, 2021 - ieeexplore.ieee.org
Deep learning-based fingerprinting techniques have recently emerged as potential enablers
of various wireless applications. However, their resiliency to time, location, and/or …

Toward length-versatile and noise-robust radio frequency fingerprint identification

G Shen, J Zhang, A Marshall… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Radio frequency fingerprint identification (RFFI) can classify wireless devices by analyzing
the signal distortions caused by intrinsic hardware impairments. Recently, state-of-the-art …

Lorawan meets ml: A survey on enhancing performance with machine learning

A Farhad, JY Pyun - Sensors, 2023 - mdpi.com
The Internet of Things is rapidly growing with the demand for low-power, long-range
wireless communication technologies. Long Range Wide Area Network (LoRaWAN) is one …