Batteryless Backscatter Sensor Networks - Part II: Lessons from Scalable Deployment

Georgios Vougioukas; Nikos Ntantidakis; Evangelos Karatarakis; Georgios Apostolakis; Aggelos Bletsas

doi:10.1109/LCOMM.2023.3237276

Batteryless Backscatter Sensor Networks - Part II: Lessons from Scalable Deployment

Georgios Vougioukas, Nikos Ntantidakis, Evangelos Karatarakis, Georgios Apostolakis, Aggelos Bletsas

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	768-772
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	3
DOIs	https://doi.org/10.1109/LCOMM.2023.3237276
State	Published - Mar 1 2023
Externally published	Yes

All Science Journal Classification (ASJC) codes

Modeling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

Keywords

Backscatter
environmental monitoring
inference
sensor networks

Access to Document

10.1109/LCOMM.2023.3237276

Cite this

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abstract = "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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AU - Apostolakis, Georgios

AU - Bletsas, Aggelos

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AB - 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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KW - inference

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Batteryless Backscatter Sensor Networks - Part II: Lessons from Scalable Deployment

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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