Skip to main navigation Skip to search Skip to main content

LTE-Based Low-Cost and Low-Power Soil Moisture Sensing

  • University of Massachusetts

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Scopus citations

Abstract

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).

Original languageEnglish
Title of host publicationSenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages421-434
Number of pages14
ISBN (Electronic)9781450398862
DOIs
StatePublished - Jan 24 2023
Event20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022 - Boston, United States
Duration: Nov 6 2022Nov 9 2022

Publication series

NameSenSys 2022 - Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference20th ACM Conference on Embedded Networked Sensor Systems, SenSys 2022
Country/TerritoryUnited States
CityBoston
Period11/6/2211/9/22

Keywords

  • LTE sensing
  • low-power and low-cost sensing
  • pervasive sensing
  • smart agriculture
  • soil moisture sensing

Fingerprint

Dive into the research topics of 'LTE-Based Low-Cost and Low-Power Soil Moisture Sensing'. Together they form a unique fingerprint.

Cite this