CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-11-11
Cited: 0
Clicked: 4735
Citations: Bibtex RefMan EndNote GB/T7714
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.
[1]Analog Devices, 2016. ADG904 Datasheet. https://www.analog.com
[2]Avx, 2020. Avx BestCap. http://catalogs.avx.com/BestCap.pdf
[3]Chi ZC, Liu X, Wang W, et al., 2020. Leveraging ambient LTE traffic for ubiquitous passive communication. Proc Annual Conf of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, p.172-185. doi: 10.1145/3387514.3405861
[4]Dunna M, Meng M, Wang PH, et al., 2021. SyncScatter: enabling WiFi like synchronization and range for WiFi backscatter communication. Proc 18th USENIX Symp on Networked Systems Design and Implementation, p.923-937.
[5]Ettus, 2018. USRP B200mini-i. https://www.ettus.com/all-products/usrp-b200mini-i-2/
[6]Guo XZ, Shangguan LF, He Y, et al., 2020. Aloba: rethinking ON-OFF keying modulation for ambient LoRa backscatter. Proc 18th Conf on Embedded Networked Sensor Systems, p.192-204. doi: 10.1145/3384419.3430719
[7]Hessar M, Najafi A, Iyer V, et al., 2020. TinySDR: low-power SDR platform for over-the-air programmable IoT testbeds. 17th USENIX Symp on Networked Systems Design and Implementation, p.1031-1046.
[8]Huang QY, Song GC, Wang W, et al., 2020. FreeScatter: enabling concurrent backscatter communication using antenna arrays. IEEE Int Things J, 7(8):7310-7318. doi: 10.1109/JIOT.2020.2984877
[9]Kuo YS, Pannuto P, Schmid T, et al., 2012. Reconfiguring the software radio to improve power, price, and portability. Proc 10th ACM Conf on Embedded Network Sensor Systems, p.267-280. doi: 10.1145/2426656.2426683
[10]LimeNet, 2018. LimeSDR. https://limemicro.com/products/boards/limesdr/
[11]Luo ZH, Zhang QP, Ma YF, et al., 2019. 3D backscatter localization for fine-grained robotics. Proc 16th USENIX Conf on Networked Systems Design and Implementation, p.765-781.
[12]Microsemi, 2012. AGLN250 Datasheet. https://cn.alldatasheet.com/view.jsp?Searchword=AGLN250
[13]muRata, 2018. muRata Lumped Compent. https://www.murata.com/zhcn/support/faqs/capacitor/ceramiccapacitor/char/0039
[14]Nandakumar R, Iyer V, Gollakota S, 2018. 3D localization for sub-centimeter sized devices. Proc 16th ACM Conf on Embedded Networked Sensor Systems, p.108-119. doi: 10.1145/3274783.3274851
[15]Peng Y, Shangguan LF, Hu Y, et al., 2018. PLoRa: a passive long-range data network from ambient LoRa transmissions. Proc Conf of the ACM Special Interest Group on Data Communication, p.147-160. doi: 10.1145/3230543.3230567
[16]People's Daily, 2021. Chinese Railway Operating Mileage. http://www.gov.cn/xinwen/2021-09/26/content5639361.htm [Accessed on Sept. 26, 2021].
[17]Philipose M, Smith JR, Jiang B, et al., 2005. Battery-free wireless identification and sensing. IEEE Perv Comput, 4(1):37-45. doi: 10.1109/MPRV.2005.7
[18]SiTime, 2017. SiT1576 Datasheet. https://www.sitimechina.com
[19]Talla V, Hessar M, Kellogg B, et al., 2017. LoRa backscatter: enabling the vision of ubiquitous connectivity. Proc ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, p.1-24. doi: 10.1145/3130970
[20]Talla V, Smith J, Gollakota S, 2021. Advances and open problems in backscatter networking. GetMob Mob Comput Commun, 24(4):32-38. doi: 10.1145/3457356.3457367
[21]TI, 2018a. TPL5111 Datasheet. https://www.ti.com
[22]TI, 2018b. TPS782xx LDO. https://www.mouser.com/Texas-Instruments/LDO-Voltage-Regulators/TPS78218-Series/N-1z0zls6Z5cgacZ1yxywu6
[23]Zhang P, Peng MG, Cui SG, et al., 2022. Theory and techniques for "intellicise" wireless networks. Front Inform Technol Electron Eng, 23(1):1-4. doi: 10.1631/FITEE.2210000
[24]Zhang PY, Bharadia D, Joshi K, et al., 2016. HitchHike: practical backscatter using commodity WiFi. Proc 14th ACM Conf on Embedded Network Sensor Systems CD-ROM, p.259-271. doi: 10.1145/2994551.2994565
[25]Zhang XN, Wang W, Xiao XD, et al., 2020. Peer-to-peer localization for single-antenna devices. Proc ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, p.1-25. doi: 10.1145/3411833
[26]Zhao J, Gong W, Liu JC, 2018. Spatial stream backscatter using commodity WiFi. Proc 16th Annual Int Conf on Mobile Systems, Applications, and Services, p.191-203. doi: 10.1145/3210240.3210329
[27]Zhao RJ, Wang PR, Ma YF, et al., 2020. NFC+: breaking NFC networking limits through resonance engineering. Proc Annual Conf of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, p.694-707. doi: 10.1145/3387514.3406219
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