Evidence map›Paper›PMID 35205453›Full record

ArticleEntropy (Basel, Switzerland)2022

A Fault-Tolerant Transmission Scheme in SDN-Based Industrial IoT (IIoT) over Fiber-Wireless Networks.

Qinbin Zhou, Taotao Zhao, Xiaomin Chen, Yuesheng Zhong, Heng Luo

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. 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. Mapping of Industrial IoT to IEC 62443 Standards.Sensors (Basel, Switzerland) · 2025
    Review
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.

Qinbin ZhouSchool of Information Science and Technology, Nantong University, Nantong 226019, China.ORCID 0000-0002-3066-6036
Taotao ZhaoSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Xiaomin ChenSchool of Information Science and Technology, Nantong University, Nantong 226019, China.
Yuesheng ZhongBMW Group, 80788 Munich, Germany.
Heng LuoJiangsu Province Key Laboratory of Intelligent Building Energy Effciency, Suzhou University of Science and Technology, Suzhou 215009, China.

Funding

National Natural Science Foundation of China 51874205State Key Laboratory of Advanced Optical Communication Systems and Networks 2021GZKF006
6 · The paper itself

Abstract

Driven by the emerging mission-critical and data-intensive applications in industrial intelligent manufacturing, the software-defined network (SDN) based fiber-wireless access network (FiWi) is attracting considerable attention thanks to its capability of central control and large bandwidth. However, the heterogeneity of the network leads to new challenges, since the packet loss can be caused either by the poor channel quality of wireless links or network component failures. A novel and adaptive mechanism combining sparse random linear network coding with parallel transmission (SNC-PT) is proposed to achieve the fault-tolerance against high packet loss rate and any network element malfunction. We illustrate the benefits of using the SNC-PT mechanism to improve fault tolerance by characterizing the network performance with respect to the completion time and goodput along with its relationship to channel quality and node failures. We show that significant performance gains can be obtained in comparison with conventional uncoded transmission based on transmission control protocol (TCP). The simulation results show that the SNC-PT mechanism is fault-tolerant, while it can significantly shorten the data transmission completion time to at least 12% of the baseline and increase the goodput by about 10% compared to other coding schemes such as random linear network coding.

Indexed as

fault-tolerancefiber-wireless networkindustrial Internet of Thingsnetwork codingparallel transmissionsoftware-defined network

Identifiers

PMID35205453
PMCPMC8871020

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.