Evidence map›Paper›PMID 36679719›Full record

ArticleSensors (Basel, Switzerland)2023

Prioritization-Driven Congestion Control in Networks for the Internet of Medical Things: A Cross-Layer Proposal.

Raymundo Buenrostro-Mariscal, Pedro C Santana-Mancilla, Osval Antonio Montesinos-López, Mabel Vazquez-Briseno, Juan Ivan Nieto-Hipolito

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

5 authors.

Raymundo Buenrostro-MariscalSchool of Telematics, Universidad de Colima, Colima 28040, Mexico.ORCID 0000-0003-1449-1982
Pedro C Santana-MancillaSchool of Telematics, Universidad de Colima, Colima 28040, Mexico.ORCID 0000-0002-4184-0116
Osval Antonio Montesinos-LópezSchool of Telematics, Universidad de Colima, Colima 28040, Mexico.
Mabel Vazquez-BrisenoFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 22860, Mexico.ORCID 0000-0003-2545-2153
Juan Ivan Nieto-HipolitoFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 22860, Mexico.ORCID 0000-0003-0105-6789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-life implementation of the Internet of Things (IoT) in healthcare requires sufficient quality of service (QoS) to transmit the collected data successfully. However, unsolved challenges in prioritization and congestion issues limit the functionality of IoT networks by increasing the likelihood of packet loss, latency, and high-power consumption in healthcare systems. This study proposes a priority-based cross-layer congestion control protocol called QCCP, which is managed by communication devices' transport and medium access control (MAC) layers. Unlike existing methods, the novelty of QCCP is how it estimates and resolves wireless channel congestion because it does not generate control packets, operates in a distributed manner, and only has a one-bit overhead. Furthermore, at the same time, QCCP offers packet scheduling considering each packet's network load and QoS. The results of the experiments demonstrated that with a 95% confidence level, QCCP achieves sufficient performance to support the QoS requirements for the transmission of health signals. Finally, the comparison study shows that QCCP outperforms other TCP protocols, with 64.31% higher throughput, 18.66% less packet loss, and 47.87% less latency.

Indexed as

Computer Communication NetworksWireless TechnologyAlgorithmsCommunicationInternetcongestion controlcross-layerhealthcareinternet of medical thingspacket scheduling

Identifiers

PMID36679719
PMCPMC9861319

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.