Sensor Systems and Software. 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers

Research Article

SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks

Download
307 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-61563-9_1,
        author={Fay\`{e}al Ait Aoudia and Matthieu Gautier and Michele Magno and Olivier Berder and Luca Benini},
        title={SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks},
        proceedings={Sensor Systems and Software. 7th International Conference, S-Cube 2016, Sophia Antipolis, Nice, France, December 1-2, 2016, Revised Selected Papers},
        proceedings_a={S-CUBE},
        year={2017},
        month={7},
        keywords={},
        doi={10.1007/978-3-319-61563-9_1}
    }
    
  • Fayçal Ait Aoudia
    Matthieu Gautier
    Michele Magno
    Olivier Berder
    Luca Benini
    Year: 2017
    SNW-MAC: An Asynchronous Protocol Leveraging Wake-Up Receivers for Data Gathering in Star Networks
    S-CUBE
    Springer
    DOI: 10.1007/978-3-319-61563-9_1
Fayçal Ait Aoudia1, Matthieu Gautier1,*, Michele Magno2, Olivier Berder1, Luca Benini2
  • 1: University of Rennes 1, IRISA
  • 2: ETH Zürich
*Contact email: matthieu.gautier@irisa.fr

Abstract

A widespread approach to extend lifetime of battery-powered wireless sensor nodes is duty-cycling, which consists in periodically switching on and off node transceiver. However, energy waste in idle listening periods is still a bottleneck. These periods can be completely removed using emerging ultra-low power wake-up receivers, which continuously listen to the channel with negligible power consumption. In this paper, an asynchronous medium access control protocol is proposed for data gathering in a star network topology. The protocol exploits state-of-the-art wake-up receivers to minimize the energy required to transmit a packet and to make collisions impossible. The proposed approach has been implemented on a real hardware platform and tested in-field. Experimental results demonstrate the benefits of the proposed approach in terms of energy efficiency, power consumption and throughput, which can be up to more than two times higher compared to traditional schemes.