Network demonstration of low-cost and ultra-low-power environmental sensing with analog backscatter

Eleftherios Kampianakis, Stylianos D. Assimonis, Aggelos Bletsas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Recent advances in antennas used as sensors have clearly demonstrated sensing capabilities. However, such approaches typically require manufacturing precision or high-sensitivity, expensive receivers. Furthermore, sensors that utilize communication by means of reflection have been proposed. However, such sensors typically suffer from small communication range. In sharp contrast to prior art, this work adopts analog bistatic backscatter radio principles and demonstrates a network of simultaneously operating sensors. Communication range on the order of 60m was achieved with commodity, low-cost receiver. Environmental humidity was measured with accuracy 1.9%RH RMS error, 0.5milliWatt power consumption and cost approximately 5€ per tag. Interesting tradeoff between measurement accuracy and number of sensors is briefly described.

Original languageEnglish
Title of host publicationIEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)
Pages61-63
Number of pages3
DOIs
Publication statusPublished - 05 Jun 2014
Event2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014 - Newport Beach, CA, United States
Duration: 19 Jan 201422 Jan 2014

Conference

Conference2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014
CountryUnited States
CityNewport Beach, CA
Period19/01/201422/01/2014

Keywords

  • Backscatter
  • Backscatter sensor networks
  • Wireless Sensing
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Kampianakis, E., Assimonis, S. D., & Bletsas, A. (2014). Network demonstration of low-cost and ultra-low-power environmental sensing with analog backscatter. In IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet) (pp. 61-63) https://doi.org/10.1109/WiSNet.2014.6825506