Evidence map›Paper›PMID 38865334›Full record

ArticlePloS one2024

Error mitigation in LPWAN systems: A study on the efficacy of Hamming-coded RPW.

Muhammad Moazzam Ali, Shaiful Jahari Hashim, Zaid Ahmad, Guillaume Ferre, Fakhrul Zaman Rokhani, Muhammad Akmal Chaudhary

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Muhammad Moazzam AliDepartment of Computer and Communication System Engineering, Universiti Putra, Selangor, Malaysia.ORCID 0009-0007-0938-3932
Shaiful Jahari HashimDepartment of Computer and Communication System Engineering, Universiti Putra, Selangor, Malaysia.
Zaid AhmadDepartment of Electrical and Computer Engineering, COMSATS University, Islamabad, (Lahore Campus), Pakistan.
Guillaume FerreCNRS, Bordeaux INP, IMS, UMR 5218, Univ. Bordeaux, Talence, France.
Fakhrul Zaman RokhaniDepartment of Computer and Communication System Engineering, Universiti Putra, Selangor, Malaysia.
Muhammad Akmal ChaudharyDepartment of Electrical and Computer Engineering, Ajman University, Ajman, United Arab Emirates.ORCID 0000-0001-6063-3377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotating Polarization Wave (RPW) is a novel Low Power Wide Area Networks (LPWAN) technology for robust connectivity and extended coverage area as compared to other LPWAN technologies such as LoRa and Sigfox when no error detection and correction is employed. Since, IoT and Machine-to-Machine (M2M) communication demand high reliability, RPW with error correction can significantly enhance the communication reliability for critical IoT and M2M applications. Therefore, this study investigates the performance of RPW with single bit error detection and correction using Hamming codes to avoid substantial overhead. Hamming (7,4) coded RPW shows a remarkable improvement of more than 40% in error performance compared to uncoded RPW thereby making it a suitable candidate for IoT and M2M applications. Error performance of coded RPW outperforms coded Chirp Spread Spectrum (CSS) modulation used in LoRa under multipath conditions by 51%, demonstrating superior adaptability and robustness under dynamic channel conditions. These findings provide valuable insights into the ongoing developments in wireless communication systems whilst reporting Q-RPW model as a new and effective method to address the needs of developing LPWAN and IoT ecosystems.

Indexed as

Wireless TechnologyComputer Communication NetworksHumans

Identifiers

PMID38865334
PMCPMC11168661

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LicenceCC BY
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Registered trials

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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.