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research-article

ENORA: Empowering Energy-Neutral Operation in LoRa Networks via Embedded Intelligence

Authors:

Sukanya Jewsakul,

Edith C. H. NgaiAuthors Info & Claims

IEEE Network, Volume 37, Issue 4

Pages 127 - 134

https://doi.org/10.1109/MNET.010.2200662

Published: 25 October 2023 Publication History

Abstract

Energy-availability prediction algorithms based on neural networks and random forests have enabled energy-neutral operation on resource-constrained sensors powered by energy harvesting. Coupled with careful energy management, the energy harvesting-aware sensors can sustain perpetual uptime, provided that the energy consumption is smaller than the harvested energy. Despite recent algorithmic advancements, energy-neutral factors concerning battery characteristics and the timing of recharging and discharging processes remain to be further explored. In this article, we leverage real-world solar-energy harvesting traces to investigate the impact of these energy-neutral factors on sensor lifetime. Based on our findings, we introduce, ENORA, a novel transmission-management framework that empowers energy-neutral operation in energy-harvesting LoRa networks via embedded intelligence. It prolongs the lifetime of LoRa networks by dynamically allocating and carefully consuming energy harvested during different times of the day. The results from trace-driven simulations reveal that ENORA offers up to 2.2 times longer network lifetime than the state-of-the-art.

References

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Digital Library

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Cited By

Jewsakul SNgai E(2024)FioRa: Energy Neutrality-aware Multicast Firmware Distributions in Energy-harvesting LoRa NetworksProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3698174(88-98)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3671127.3698174

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ENORA: Empowering Energy-Neutral Operation in LoRa Networks via Embedded Intelligence

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Published In

cover image IEEE Network: The Magazine of Global Internetworking

IEEE Network: The Magazine of Global Internetworking Volume 37, Issue 4

July/August 2023

307 pages

ISSN:0890-8044

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Copyright © 2023.

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IEEE Press

Publication History

Published: 25 October 2023

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Cited By

Jewsakul SNgai E(2024)FioRa: Energy Neutrality-aware Multicast Firmware Distributions in Energy-harvesting LoRa NetworksProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3698174(88-98)Online publication date: 29-Oct-2024
https://dl.acm.org/doi/10.1145/3671127.3698174

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