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How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes ?

Abstract : LoRa is popular for internet of things applications as this communication technology offers both a long range and a low power consumption. However, LoRaWAN, the standard MAC protocol that uses LoRa as physical layer, has the bottleneck of a high downlink latency to achieve energy efficiency. To overcome this drawback we explore the use of wake-up radio combined with LoRa, and propose an adequate MAC protocol that takes profit of both these heterogeneous and complementary technologies. This protocol allows an opportunistic selection of a cluster head that forwards commands from the gateway to the nodes in the same cluster. Furthermore, to achieve self-sustainability, sensor nodes might include an energy harvesting sub-system, for instance to scavenge energy from the light, and their quality of service can be tuned, according to their available energy. To have an effective self-sustaining LoRa system, we propose a new energy manager that allows less fluctuations of the quality of service between days and nights. Latency and energy are modelled in a hybrid manner, i.e. leveraging microbenchmarks on real hardware platforms, to explore the influence of the energy harvesting conditions on the quality of service of this heterogeneous network. It is clearly demonstrated that the cooperation of nodes within a cluster drastically reduces the latency of LoRa base station commands, e.g. by almost 90% compared to traditional LoRa scheme for a 10 nodes cluster.
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https://hal.inria.fr/hal-03122603
Contributor : Matthieu Gautier Connect in order to contact the contributor
Submitted on : Wednesday, January 27, 2021 - 10:38:33 AM
Last modification on : Tuesday, October 19, 2021 - 11:04:42 AM
Long-term archiving on: : Wednesday, April 28, 2021 - 6:31:49 PM

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Nour El Hoda Djidi, Matthieu Gautier, Antoine Courtay, Olivier Berder, Michele Magno. How Can Wake-up Radio Reduce LoRa Downlink Latency for Energy Harvesting Sensor Nodes ?. Sensors, MDPI, 2021, 21 (3), pp.733. ⟨10.3390/s21030733⟩. ⟨hal-03122603⟩

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