TY - GEN
T1 - LTE-Based Low-Cost and Low-Power Soil Moisture Sensing
AU - Feng, Yuda
AU - Xie, Yaxiong
AU - Ganesan, Deepak
AU - Xiong, Jie
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2023/1/24
Y1 - 2023/1/24
N2 - Soil moisture sensing is a basic function required by applications like precision irrigation. Recently, RF based soil moisture sensing solutions [10, 43] have been proposed, which, however, can hardly support large scale deployment in challenging outdoor environments, since they must have dedicated signal emitters and also require power supply for either the signal emitters (WiFi or RFID reader) or both the transceivers (WiFi AP and client). LTE signal provides a unique opportunity for soil moisture sensing as the ubiquitously deployed base stations are naturally always-on signal emitters, eliminating the need for deploying extra hardware. In this paper, we implement a low-cost LTE based soil moisture sensor using commercial off-the-shelf hardware. We also realize duty-cycled soil sensing by automatically self-calibrating the phase offset after powering on the devices, significantly reducing the overall power consumption of the sensor. Extensive experiments show that our low-cost sensor ($55) achieves a high accuracy (3.15%) which is comparable to high-end soil moisture sensors ($850), wide coverage (2.4 km from the base station) and low power consumption (lasting 16 months using batteries).
AB - Soil moisture sensing is a basic function required by applications like precision irrigation. Recently, RF based soil moisture sensing solutions [10, 43] have been proposed, which, however, can hardly support large scale deployment in challenging outdoor environments, since they must have dedicated signal emitters and also require power supply for either the signal emitters (WiFi or RFID reader) or both the transceivers (WiFi AP and client). LTE signal provides a unique opportunity for soil moisture sensing as the ubiquitously deployed base stations are naturally always-on signal emitters, eliminating the need for deploying extra hardware. In this paper, we implement a low-cost LTE based soil moisture sensor using commercial off-the-shelf hardware. We also realize duty-cycled soil sensing by automatically self-calibrating the phase offset after powering on the devices, significantly reducing the overall power consumption of the sensor. Extensive experiments show that our low-cost sensor ($55) achieves a high accuracy (3.15%) which is comparable to high-end soil moisture sensors ($850), wide coverage (2.4 km from the base station) and low power consumption (lasting 16 months using batteries).
KW - LTE sensing
KW - low-power and low-cost sensing
KW - pervasive sensing
KW - smart agriculture
KW - soil moisture sensing
UR - https://www.scopus.com/pages/publications/85147551088
U2 - 10.1145/3560905.3568525
DO - 10.1145/3560905.3568525
M3 - Conference contribution
AN - SCOPUS:85147551088
T3 - SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
SP - 421
EP - 434
BT - SenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
T2 - 20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
Y2 - 6 November 2022 through 9 November 2022
ER -