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Soil-Moisture-Scatter-Radio-Networking-with-Low-Power

Hardware and Software files of IEEE publication: Soil Moisture Scatter Radio Networking with Low Power

In this repo, a low-cost (6 Euro per sensor), low-power (in the order of 200 µW per sensor), with high communication range (in the order of 250 meter), scatter radio sensor network is presented, for soil moisture monitoring at multiple locations. The proposed network utilizes analog frequency modulation (FM) in a bistatic network architecture (i.e., the emitter and reader are not co-located), while the sensors operate simultaneously, using frequency division multiple access (FDMA). In contrast to prior art, this work utilizes an ultra-low cost software-defined radio reader, offers custom microstrip capacitive sensing with simple calibration, as well as modulation pulses for each scatter radio sensor with 50% duty cycle; the latter is necessary for scalable network designs. Overall root mean squared error (RMSE) below 1% is observed, even for ranges of 250 m. This is another small (but concrete) step for the adoption of scatter radio technology as a key enabling technology for scalable, large-scale, low-power and cost environmental sensor networking.

IEEE Xplore: https://ieeexplore.ieee.org/document/7490345/
Local: http://www.daskalakispiros.com/files/daskalakis_mtt_2015.pdf


Questions/issues Inquiries regarding the scripts provided are cordially welcome.


Citing

If you use our algorithm, please cite [1].

@article{daskalakis2016soil,
  title={Soil moisture scatter radio networking with low power},
  author={Daskalakis, Spyridon-Nektarios and Assimonis, Stylianos D and Kampianakis, Eleftherios and Bletsas, Aggelos},
  journal={IEEE Transactions on Microwave Theory and Techniques},
  volume={64},
  number={7},
  pages={2338--2346},
  year={2016},
  publisher={IEEE}
}
 

[1] S. N. Daskalakis, S.D. Assimonis, E. Kampianakis and A. Bletsas, Soil Moisture Scatter Radio Networking with Low Power, IEEE Transactions on Microwave Theory and Techniques (TMTT), Special Issue on RFID Sensing & Imaging, Vol. 64, No. 7, pp. 2338-2346, July 2016.

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