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On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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Citations: Bibtex RefMan EndNote GB/T7714
Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network
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Huixin DONG, Wei KUANG, Fei XIAO, Lihai LIU, Feng XIANG, Wei WANG, Jianhua HE. Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(1): 19-30.
@article{title="Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network",
author="Huixin DONG, Wei KUANG, Fei XIAO, Lihai LIU, Feng XIANG, Wei WANG, Jianhua HE",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="1",
pages="19-30",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100321"
}
%0 Journal Article
%T Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network
%A Huixin DONG
%A Wei KUANG
%A Fei XIAO
%A Lihai LIU
%A Feng XIANG
%A Wei WANG
%A Jianhua HE
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 1
%P 19-30
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100321
TY - JOUR
T1 - Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network
A1 - Huixin DONG
A1 - Wei KUANG
A1 - Fei XIAO
A1 - Lihai LIU
A1 - Feng XIANG
A1 - Wei WANG
A1 - Jianhua HE
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 1
SP - 19
EP - 30
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100321
Abstract: The recent decade has witnessed an upsurge in the demands of intelligent and simplified Internet of Things (IoT) networks that provide ultra-low-power communication for numerous miniaturized devices. Although the research community has paid great attention to wireless protocol designs for these networks, researchers are handicapped by the lack of an energy-efficient software-defined radio (SDR) platform for fast implementation and experimental evaluation. Current SDRs perform well in battery-equipped systems, but fail to support miniaturized IoT devices with stringent hardware and power constraints. This paper takes the first step toward designing an ultra-low-power SDR that satisfies the ultra-low-power or even battery-free requirements of intelligent and simplified ioT networks. To achieve this goal, the core technique is the effective integration of μW-level backscatter in our SDR to sidestep power-hungry active radio frequency chains. We carefully develop a novel circuit design for efficient energy harvesting and power control, and devise a competent solution for eliminating the harmonic and mirror frequencies caused by backscatter hardware. We evaluate the proposed SDR using different modulation schemes, and it achieves a high data rate of 100 kb/s with power consumption less than 200 μW in the active mode and as low as 10 μW in the sleep mode. We also conduct a case study of railway inspection using our platform, achieving 1 kb/s battery-free data delivery to the monitoring unmanned aerial vehicle at a distance of 50 m in a real-world environment, and provide two case studies on smart factories and logistic distribution to explore the application of our platform.
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