Evidence map›Paper›PMID 31212839›Full record

ArticleSensors (Basel, Switzerland)2019

Strategies and Techniques for Powering Wireless Sensor Nodes through Energy Harvesting and Wireless Power Transfer.

Roberto La Rosa, Patrizia Livreri, Carlo Trigona, Loreto Di Donato, Gino Sorbello

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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. roberto.larosa@st.com.ORCID 0000-0002-5296-9994
Patrizia LivreriDepartment of Engineering, University of Palermo, Viale delle Scienze Ed.9, 90128 Palermo, Italy. patrizia.livreri@unipa.it.
Carlo TrigonaDepartment of Electrical, Electronics and Computer Engineering, University of Catania, viale A. Doria 6, 95126 Catania, Italy. carlo.trigona@dieei.unict.it.
Loreto Di DonatoDepartment of Electrical, Electronics and Computer Engineering, University of Catania, viale A. Doria 6, 95126 Catania, Italy. loreto.didonato@dieei.unict.it.
Gino SorbelloDepartment of Electrical, Electronics and Computer Engineering, University of Catania, viale A. Doria 6, 95126 Catania, Italy. gino.sorbello@unict.it.ORCID 0000-0002-5081-3486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuous development of internet of things (IoT) infrastructure and applications is paving the way for advanced and innovative ideas and solutions, some of which are pushing the limits of state-of-the-art technology. The increasing demand for Wireless Sensor Nodes (WSNs) able to collect and transmit data through wireless communication channels, while often positioned in locations that are difficult to access, is driving research into innovative solutions involving energy harvesting (EH) and wireless power transfer (WPT) to eventually allow battery-free sensor nodes. Due to the pervasiveness of radio frequency (RF) energy, RF EH and WPT are key technologies with the potential to power IoT devices and smart sensing architectures involving nodes that need to be wireless, maintenance free, and sufficiently low in cost to promote their use almost anywhere. This paper presents a state-of-the-art, ultra-low power 2.5 μ W highly integrated mixed signal system on chip (SoC), for multi-source energy harvesting and wireless power transfer. It introduces a novel architecture that integrates an ultra-low power intelligent power management, an RF to DC converter with very low power sensitivity and high power conversion efficiency (PCE), an Amplitude-Shift-Keying/Frequency-Shift-Keying (ASK/FSK) receiver and digital circuitry to achieve the advantage to cope, in a versatile way and with minimal use of external components, with the wide variety of energy sources and use cases. Diverse methods for powering Wireless Sensor Nodes through energy harvesting and wireless power transfer are implemented providing related system architectures and experimental results.

Indexed as

energy harvestinginternet of thingslithium ion batteryradio frequencywireless battery chargerwireless sensor networksWSNs

Identifiers

PMID31212839
PMCPMC6630942

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.