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Smart LED Lights Control Using Nano-Power Wake Up Radios

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Sensor Systems and Software (S-CUBE 2016)

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Abstract

Wireless sensor networks (WSNs) are widely employed today in real world applications. Smart homes and smart cities are the most promising application currently exploiting WSN. Smart lighting with WSN in particular is promising to achieve a low cost, wireless, easily installed, adaptable system to automatically adjust the light intensity of LED panels, with the aim of saving energy and maintaining user satisfaction. However, lifetime and power consumption of wireless devices are still the most critical challenge that limits the success of this technology. This issue is especially critical when wireless sensor nodes are powered by limited energy storage devices (i.e. small batteries or supercaps). To overcome this issue, major research efforts focus on reducing power consumption, particularly communication, as the radio transceiver is one of the highest power consumers. In this work we present the design and development of a highly efficient wireless system targeting indoor control of lights using ultra low power wake up radio technology. Thanks to the wake up radio the energy efficiency of the communication is improved and this significantly increases the lifetime of the solution. We design the sensor and control devices for a smart light controlling system that can be retrofitted and maintain a long lifetime even when supplied by batteries. Measurements of current and power consumption of both the designed system confirm the ultra-low power of the nodes and the benefits to use the energy efficient power communication implemented with the wake up radio.

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Acknowledge

This work was supported by “Transient Computing Systems”, a SNF project (200021_157048), by SCOPES SNF project (IZ74Z0_160481).

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Authors and Affiliations

  1. DIE, Università Di Bologna, Bologna, Italy

    Tommaso Polonelli & Michele Magno

  2. D-ITET, ETH Zürich, Zürich, Switzerland

    Michele Magno

Authors
  1. Tommaso Polonelli
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  2. Michele Magno
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Corresponding author

Correspondence to Michele Magno .

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Editors and Affiliations

  1. ITET, ETH Zurich, Zurich, Switzerland

    Michele Magno

  2. Laboratoire d’Electronique, Nice Sophia Antipolis University, Sophia Antipolis, France

    Fabien Ferrero

  3. Faculty of Electrical Engineering, University of Zagreb, Zagreb, Croatia

    Vedran Bilas

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Polonelli, T., Magno, M. (2017). Smart LED Lights Control Using Nano-Power Wake Up Radios. In: Magno, M., Ferrero, F., Bilas, V. (eds) Sensor Systems and Software. S-CUBE 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 205. Springer, Cham. https://doi.org/10.1007/978-3-319-61563-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-61563-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61562-2

  • Online ISBN: 978-3-319-61563-9

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