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Overall Feasibility of RF Energy Harvesting for IoT

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E-Business and Telecommunications (ICETE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1484))

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Abstract

This paper presents a global vision of the study of an IoT sensor node entirely powered by ambient Radio Frequency (RF) waves in the WiFi 2.45 GHz ISM band. The node includes a temperature sensor and an RF microcontroller to send the measurements through Bluetooth Low Energy signal. After characterizing the energy consumption of the sensor node and measuring the available WiFi surrounding power, we were able to size the RF to DC converter and the associated optimal capacitor capable of storing the converted WiFi energy necessary to supply the node. The result was a study of the energetically viable nature of such a system. According to the node’s supply voltage, varying from 1.8 V to 3.3 V, it is possible to perform a measurement and a transmission of the sensor data several times a day from a WiFi signal as low as −20 dBm.

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Authors and Affiliations

  1. Département Electronique et Physique (EPh) - Télécom SudParis, Institut Polytechnique de Paris, 19, rue Marguerite Perey, 91120, Palaiseau, France

    Florian Grante, Ghalid Abib, Muriel Muller & Nel Samama

Authors
  1. Florian Grante
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  2. Ghalid Abib
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  3. Muriel Muller
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  4. Nel Samama
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Corresponding authors

Correspondence to Florian Grante , Ghalid Abib , Muriel Muller or Nel Samama .

Editor information

Editors and Affiliations

  1. University of Jordan, Amman, Jordan

    Mohammad S. Obaidat

  2. Paris 13 University, Villetaneuse, France

    Jalel Ben-Othman

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Grante, F., Abib, G., Muller, M., Samama, N. (2021). Overall Feasibility of RF Energy Harvesting for IoT. In: Obaidat, M.S., Ben-Othman, J. (eds) E-Business and Telecommunications. ICETE 2020. Communications in Computer and Information Science, vol 1484. Springer, Cham. https://doi.org/10.1007/978-3-030-90428-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-90428-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90427-2

  • Online ISBN: 978-3-030-90428-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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