Evidence map›Paper›PMID 38706975›Full record

ArticleOpen research Europe2023

Precise realtime current consumption measurement in IoT TestBed.

Rihards Balass, Vladislavs Medvedevs, Andris Ivars Mackus, Juris Ormanis, Armands Ancans, Janis Judvaitis

Abstract read
In one paragraph

Article in Open research Europe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Rihards BalassCyber-Physical Systems laboratory, Institute of Electronics and Computer Science, Riga, LV-1006, Latvia.ORCID https://orcid.org/0000-0002-0134-1021
Vladislavs MedvedevsCyber-Physical Systems laboratory, Institute of Electronics and Computer Science, Riga, LV-1006, Latvia.
Andris Ivars MackusCyber-Physical Systems laboratory, Institute of Electronics and Computer Science, Riga, LV-1006, Latvia.
Juris OrmanisCyber-Physical Systems laboratory, Institute of Electronics and Computer Science, Riga, LV-1006, Latvia.
Armands AncansCyber-Physical Systems laboratory, Institute of Electronics and Computer Science, Riga, LV-1006, Latvia.
Janis JudvaitisCyber-Physical Systems laboratory, Institute of Electronics and Computer Science, Riga, LV-1006, Latvia.ORCID https://orcid.org/0000-0001-8005-2422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Internet of Things, similar to wireless sensor networks, has been integrated into the daily life of almost everyone. These wearable, stationary, or mobile devices are in multiple locations, collecting data or monitoring and executing certain tasks. Some can monitor environmental values and interact with the environment, while others are used for data collection, entertainment, or even lifesaving. To achieve the wireless part of the system, the majority of sensor nodes are designed to be battery-powered. While battery power has become increasingly ubiquitous, it tends to increase the global carbon footprint of electronic devices. This issue can be mitigated by employing some form of energy harvesting so that batteries can be refilled and the gadget lasts longer, but this does not alter the reality that batteries are still used and eventually discarded. Methods: In this paper, the authors emphasize the significance of power consumption in battery-powered devices. To be able to monitor devices' power consumption, one of the measurable parameters is current. When users know the exact current consumption, they can decrease it by polishing the program or tweaking the duty cycle, making radio transmit fewer data or less frequently, thus decreasing overall power draw. Results: In order to simplify current consumption monitoring, the authors have developed a testbed facility that provides real-time current consumption measurements, which may be used to enhance the duty cycle and battery life of the aforementioned devices. Conclusions: While minimizing total current consumption is a great way to extend the battery life and, thus, the carbon footprint, the primary culprit in the Internet of Things is radio communications. This transmission is the primary source of current consumption. By determining the exact amount of current drawn during transmission and adjusting it, users can significantly extend battery life.

Indexed as

Carbon FootprintCurrent consumptionIoTMeasurementRealtimeTestBedWSN

Identifiers

PMID38706975
PMCPMC11069045

What OpenQuestion holds

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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.