Evidence map›Paper›PMID 40648317›Full record

ArticleSensors (Basel, Switzerland)2025

Scalable, Flexible, and Affordable Hybrid IoT-Based Ambient Monitoring Sensor Node with UWB-Based Localization.

Mohammed Faeik Ruzaij Al-Okby, Thomas Roddelkopf, Jiahao Huang, Mohsin Bukhari, Kerstin Thurow

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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.

Mohammed Faeik Ruzaij Al-OkbyCenter for Life Science Automation (Celisca), University of Rostock, 18119 Rostock, Germany.ORCID 0000-0001-8084-6361
Thomas RoddelkopfInstitute of Automation, University of Rostock, 18119 Rostock, Germany.ORCID 0000-0002-5115-9519
Jiahao HuangCenter for Life Science Automation (Celisca), University of Rostock, 18119 Rostock, Germany.ORCID 0000-0003-0483-9738
Mohsin BukhariInstitute of Automation, University of Rostock, 18119 Rostock, Germany.
Kerstin ThurowCenter for Life Science Automation (Celisca), University of Rostock, 18119 Rostock, Germany.ORCID 0000-0002-3281-1065

Funding

European Research Council 856405
6 · The paper itself

Abstract

Ambient monitoring in chemical laboratories and industrial sites that use toxic, hazardous, or flammable materials is essential to protect the lives of workers, material resources, and infrastructure at these sites. In this research paper, we present an innovative approach for developing a low-cost and portable sensor node that detects and warns of hazardous chemical gas and vapor leaks. The system also enables leak location tracking using an indoor tracking and positioning system operating in ultra-wideband (UWB) technology. An array of sensors is used to detect gases, vapors, and airborne particles, while the leak location is identified through a UWB unit integrated with an Internet of Things (IoT) processor. This processor transmits real-time location data and sensor readings via wireless fidelity (Wi-Fi). The real-time indoor positioning system (IPS) can automatically select a tracking area based on the distances measured from the three nearest anchors of the movable sensor node. The environmental sensor data and distances between the node and the anchors are transmitted to the cloud in JSON format via the user datagram protocol (UDP), which allows the fastest possible data rate. A monitoring server was developed in Python to track the movement of the portable sensor node and display live measurements of the environment. The system was tested by selecting different paths between several adjacent areas with a chemical leakage of different volatile organic compounds (VOCs) in the test path. The experimental tests demonstrated good accuracy in both hazardous gas detection and location tracking. The system successfully issued a leak warning for all tested material samples with volumes up to 500 microliters and achieved a positional accuracy of approximately 50 cm under conditions without major obstacles obstructing the UWB signal between the active system units.

Indexed as

ambient monitoringgas detectionindoor positioningInternet of Thingsobject trackingsensor nodeultra-wideband

Identifiers

PMID40648317
PMCPMC12252016

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.