Το work with title Batteryless backscatter sensor networks—Part II: lessons from scalable deployment by Vougioukas Georgios, Ntantidakis Nikolaos, Karatarakis Evangelos, Apostolakis Georgios, Bletsas Aggelos is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
G. Vougioukas, N. Ntantidakis, E. Karatarakis, G. Apostolakis and A. Bletsas, "Batteryless backscatter sensor networks—Part II: lessons from scalable deployment," IEEE Commun. Lett., vol. 27, no. 3, pp. 768-772, Mar. 2023, doi: 10.1109/LCOMM.2023.3237276.
https://doi.org/10.1109/LCOMM.2023.3237276
Inspired by the challenges presented in Part I, Part II examines analog ambient backscatter for scalable, batteryless, wireless and ultra-low cost sensing of soil moisture. Ultra-low power ambient backscatter sensors are built, with accuracy below 4%, cost of a few euros per sensor and ability to report soil moisture to any conventional FM radio-equipped smartphone. Calibration, characterization, extensive usage and evaluation was conducted in research greenhouses and small-scale farms. Probabilistic graphical model-based algorithms were also devised that complete missing measurements. Hopefully, this work will spark further interest in batteryless backscatter sensor networks with holistic approaches and tremendous socioeconomic impact.