Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/8E5E372D-4168-4B18-A1CA-D02D9F71DC1F | ||
| Έτος | 2023 | ||
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | 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 | ||
| Εμφανίζεται στις Συλλογές |
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.
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