Evidence map›Paper›PMID 39338706›Full record

ArticleSensors (Basel, Switzerland)2024

Rapid and Resilient LoRa Leap: A Novel Multi-Hop Architecture for Decentralised Earthquake Early Warning Systems.

Vinuja Ranasinghe, Nuwan Udara, Movindi Mathotaarachchi, Tharindu Thenuwara, Dileeka Dias, Raj Prasanna, Sampath Edirisinghe, Samiru Gayan, Caroline Holden, Amal Punchihewa and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Vinuja RanasingheDepartment of Electronic & Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.
Nuwan UdaraDepartment of Electronic & Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.
Movindi MathotaarachchiDepartment of Electronic & Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.
Tharindu ThenuwaraDepartment of Electronic & Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.
Dileeka DiasDepartment of Electronic & Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.
Raj PrasannaJoint Centre for Disaster Research, Massey University, Wellington 6021, New Zealand.ORCID 0000-0002-5608-6558
Sampath EdirisingheDepartment of Computer Engineering, University of Sri Jayewardenepura, Ratmalana 10390, Sri Lanka.ORCID 0000-0003-0747-923X
Samiru GayanDepartment of Electronic & Telecommunication Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka.ORCID 0000-0001-7561-1541
Caroline HoldenSeismoCity Ltd., Wellington 6023, New Zealand.ORCID 0000-0002-2205-9834
Amal PunchihewaADP Consultancy, Palmerston North 4410, New Zealand.
Max StephensCivil and Environmental Engineering, Faculty of Engineering, University of Auckland, Auckland 1023, New Zealand.
Paul DrummondCanterbury Seismic, Christchurch 8442, New Zealand.ORCID 0009-0002-2812-2475

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a novel LoRa-based multi-hop communication architecture as an alternative to the public internet for earthquake early warning (EEW). We examine its effectiveness in generating a meaningful warning window for the New Zealand-based decentralised EEW sensor network implemented by the CRISiSLab operating with the adapted Propagation of Local Undamped Motion (PLUM)-based earthquake detection and node-level data processing. LoRa, popular for low-power, long-range applications, has the disadvantage of long transmission time for time-critical tasks like EEW. Our network overcomes this limitation by broadcasting EEWs via multiple short hops with a low spreading factor (SF). The network includes end nodes that generate warnings and relay nodes that broadcast them. Benchmarking with simulations against CRISiSLab's EEW system performance with internet connectivity shows that an SF of 8 can disseminate warnings across all the sensors in a 30 km urban area within 2.4 s. This approach is also resilient, with the availability of multiple routes for a message to travel. Our LoRa-based system achieves a 1-6 s warning window, slightly behind the 1.5-6.75 s of the internet-based performance of CRISiSLab's system. Nevertheless, our novel network is effective for timely mental preparation, simple protective actions, and automation. Experiments with Lilygo LoRa32 prototype devices are presented as a practical demonstration.

Indexed as

broadcastdelayearthquakeEEWFLoRaLoRamulti-hopPLUM

Identifiers

PMID39338706
PMCPMC11435446

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.