Evidence map›Paper›PMID 35632103›Full record

ArticleSensors (Basel, Switzerland)2022

Delay and Energy Consumption of MQTT over QUIC: An Empirical Characterization Using Commercial-Off-The-Shelf Devices.

Sidna Jeddou, Fátima Fernández, Luis Diez, Amine Baina, Najid Abdallah, Ramón Agüero

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Sidna JeddouDepartment of Communication Systems, National Institute of Posts and Telecommunications, Rabat 10112, Morocco.
Fátima FernándezIkerlan Technology Research Centre, Basque Research Technology Alliance (BRTA), 20500 Arrasate/Mondragón, Spain.
Luis DiezDepartment of Communication Engineering, Universidad de Cantabria, 39005 Santander, Spain.ORCID 0000-0001-5817-3308
Amine BainaDepartment of Communication Systems, National Institute of Posts and Telecommunications, Rabat 10112, Morocco.
Najid AbdallahDepartment of Communication Systems, National Institute of Posts and Telecommunications, Rabat 10112, Morocco.
Ramón AgüeroDepartment of Communication Engineering, Universidad de Cantabria, 39005 Santander, Spain.ORCID 0000-0002-9620-3990

Funding

Ministry of Economy, Industry and Competitiveness RTI2018-093475-AI0
6 · The paper itself

Abstract

The QUIC protocol, which was originally proposed by Google, has recently gained a remarkable presence. Although it has been shown to outperform TCP over a wide range of scenarios, there exist some doubts on whether it might be an appropriate transport protocol for IoT. In this paper, we specifically tackle this question, by means of an evaluation carried out over a real platform. In particular, we conduct a thorough characterization of the performance of the MQTT protocol, when used over TCP and QUIC. We deploy a real testbed, using commercial off-the-shelf devices, and we analyze two of the most important key performance indicators for IoT: delay and energy consumption. The results evince that QUIC does not only yield a notable decrease in the delay and its variability, over various wireless technologies and channel conditions, but it does not hinder the energy consumption.

Indexed as

energy consumptionInternet of Things (IoT)Message Queuing Telemetry Transport (MQTT)Quality of Service (QoS)Quic UDP Internet Connections (QUIC)Transmission Control Protocol (TCP)

Identifiers

PMID35632103
PMCPMC9145551

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.