Evidence map›Paper›PMID 39001057›Full record

ArticleSensors (Basel, Switzerland)2024

Towards Mass-Scale IoT with Energy-Autonomous LoRaWAN Sensor Nodes.

Roberto La Rosa, Lokman Boulebnane, Antonino Pagano, Fabrizio Giuliano, Daniele Croce

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.

  1. Review
  2. Article
  3. Article
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

5 authors.

Roberto La RosaSTMicroelectronics, Stradale Primosole 50, 95121 Catania, Italy.ORCID 0000-0002-5296-9994
Lokman BoulebnaneDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0009-0000-5555-2636
Antonino PaganoDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-0342-4760
Fabrizio GiulianoDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-5784-6902
Daniele CroceDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-7663-4702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By 2030, it is expected that a trillion things will be connected. In such a scenario, the power required for the trillion nodes would necessitate using trillions of batteries, resulting in maintenance challenges and significant management costs. The objective of this research is to contribute to sustainable wireless sensor nodes through the introduction of an energy-autonomous wireless sensor node (EAWSN) designed to be an energy-autonomous, self-sufficient, and maintenance-free device, to be suitable for long-term mass-scale internet of things (IoT) applications in remote and inaccessible environments. The EAWSN utilizes Low-Power Wide Area Networks (LPWANs) via LoRaWAN connectivity, and it is powered by a commercial photovoltaic cell, which can also harvest ambient light in an indoor environment. Storage components include a capacitor of 2 mF, which allows EAWSN to successfully transmit 30-byte data packets up to 560 m, thanks to opportunistic LoRaWAN data rate selection that enables a significant trade-off between energy consumption and network coverage. The reliability of the designed platform is demonstrated through validation in an urban environment, showing exceptional performance over remarkable distances.

Indexed as

battery-freeenergy harvestingIoTLoRaWANLPWANwireless sensor node

Identifiers

PMID39001057
PMCPMC11244049

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.