research-article

Experience: ARISTOTLE: wAke-up ReceIver-based, STar tOpology baTteryLEss sensor network

Authors:

Sayedsepehr Mosavat,

Matteo Zella,

Marcus Handte,

Alexander Julian Golkowski,

Pedro José MarrónAuthors Info & Claims

IPSN '23: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks

Pages 177 - 190

https://doi.org/10.1145/3583120.3586961

Published: 09 May 2023 Publication History

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Abstract

A truly ubiquitous, planet-wide Internet of Things requires ultra-low-power, long-lasting sensor nodes at its core so that it can be practically utilized in real-world scenarios without prohibitively high maintenance efforts. Recent advances in energy harvesting and low-power electronics have provided a solid foundation for the design of such sensor nodes. However, the issue of reliable two-way communication among such devices is still an active research undertaking due to the high energy footprint of traditional wireless transceivers. Although approaches such as radio duty cycling have proved beneficial for reducing the overall energy consumption of wireless sensor nodes, they come with trade-offs such as increased communication latency and complex protocols.

To address these limitations, we propose ARISTOTLE, an ultra-low-power, wake-up receiver-based sensor node design employing a star network topology. We have deployed ARISTOTLE in two different venues for carrying out the task of weather data collection. In addition to reporting the results of the two deployments, we also evaluate several performance aspects of our proposed solution. ARISTOTLE has a mean power consumption of 236.67 uW while it is in sleep mode and monitoring the radio channel for incoming wake-up signals. Utilizing various sizes of supercapacitors, ARISTOTLE was able to reach system availabilities between 47.83% and 97.36% during our real-world deployments.

References

[1]

Mikhail Afanasov, Naveed Anwar Bhatti, Dennis Campagna, Giacomo Caslini, Fabio Massimo Centonze, Koustabh Dolui, Andrea Maioli, Erica Barone, Muhammad Hamad Alizai, Junaid Haroon Siddiqui, and Luca Mottola. 2020. Battery-Less Zero-Maintenance Embedded Sensing at the MithræUm of Circus Maximus. In Proceedings of the 18th Conference on Embedded Networked Sensor Systems (Virtual Event, Japan) (SenSys ’20). Association for Computing Machinery, New York, NY, USA, 368–381. https://doi.org/10.1145/3384419.3430722

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