Evidence map›Paper›PMID 42740101›Full record

ArticleSensors (Basel, Switzerland)2026

Experimental Evaluation of Wi-Fi and BLE Smart Particles in a Rotating Drum: Link-Budget-Normalised RSSI Characterisation and IMU Validation of the Wi-Fi Particle.

Nancy Gulati, Tahir Jauhar, Gabriel Lodewijks, Michael Carr, Craig Wheeler

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nancy GulatiSchool of Engineering, College of Engineering, Science and Engineering, University of Newcastle, Newcastle 2308, Australia.ORCID 0000-0001-9728-4545
Tahir JauharSchool of Engineering, College of Engineering, Science and Engineering, University of Newcastle, Newcastle 2308, Australia.ORCID 0000-0001-9543-2719
Gabriel LodewijksSchool of Engineering, College of Engineering, Science and Engineering, University of Newcastle, Newcastle 2308, Australia.ORCID 0000-0002-6466-4346
Michael CarrSchool of Engineering, College of Engineering, Science and Engineering, University of Newcastle, Newcastle 2308, Australia.ORCID 0000-0002-7054-7752
Craig WheelerSchool of Engineering, College of Engineering, Science and Engineering, University of Newcastle, Newcastle 2308, Australia.ORCID 0000-0001-7173-7892

Funding

Australian Research Council LP190100378
6 · The paper itself

Abstract

Wireless sensing inside rotating industrial machines is challenging due to signal attenuation, multipath propagation, and continuous sensor motion. Smart particles equipped with wireless communication and inertial sensors provide a promising approach for monitoring such systems. However, the reliability of wireless signal transmission under rotational dynamics remains insufficiently understood, and systematic approaches for sensor selection are lacking. This paper presents a link-budget-normalised experimental characterisation of three commercial smart particles, namely MetaMotionS (BLE), WitMotion BLE, and WitMotion Wi-Fi, in a bare 300 mm diameter by 310 mm deep metallic drum fitted with six triangular lifters, at rest and at 16, 18, and 20 RPM, corresponding to 20.7-25.9% of the critical speed and Froude numbers of 0.043-0.067. Because raw received power conflates transmit power with channel behaviour, the comparison is expressed as excess path loss above free space together with second-order fading statistics. Two particles of the same protocol class differ by 23.9 dB, of which at most 4 dB is attributable to the transmission of power across the documented range of both radios, establishing that device implementation rather than protocol class governs the ranking. Two particles logged simultaneously through a single receiver observe one channel realisation, and the correlation between their signal fluctuations is not significantly different from zero at any speed (r = +0.064, -0.098, -0.083), indicating device-specific rather than environmental fading. Under rotation, the Wi-Fi particle holds an RSSI standard deviation of 1.96 dB against 6.27 and 6.58 dB for the two BLE particles (Welch ANOVA,

Indexed as

fading statisticsgranular dynamicsindustrial IoTlink budgetrotating drumRSSIsensor selectionsmart particleswireless sensing

Identifiers

PMID42740101
PMCPMC13568027

What OpenQuestion holds

Textmetadata
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.