Evidence map›Paper›PMID 34640792›Full record

ArticleSensors (Basel, Switzerland)2021

An Optimized Framework for WSN Routing in the Context of Industry 4.0.

Shalli Rani, Deepika Koundal, Kavita, Muhammad Fazal Ijaz, Mohamed Elhoseny, Mohammed I Alghamdi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Shalli RaniChitkara University Institute of Engineering and Technology, Chitkara University, Punjab 140401, India.ORCID 0000-0002-8474-9435
Deepika KoundalDepartment of Systemics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248001, India.ORCID 0000-0003-1688-8772
KavitaDepartment of Computer Science and Engineering, Chandigarh University, Mohali 140413, India.
Muhammad Fazal IjazDepartment of Intelligent Mechatronics Engineering, Sejong University, Seoul 05006, Korea.ORCID 0000-0001-5206-272X
Mohamed ElhosenyFaculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt.ORCID 0000-0001-6347-8368
Mohammed I AlghamdiDepartment of Computer Science, Al-Baha University, Al-Baha City 1988, Saudi Arabia.ORCID 0000-0002-9794-554X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advancements in Industry 4.0 have opened up new ways for the structural deployment of Smart Grids (SGs) to face the endlessly rising challenges of the 21st century. SGs for Industry 4.0 can be better managed by optimized routing techniques. In Mobile Ad hoc Networks (MANETs), the topology is not fixed and can be encountered by interference, mobility of nodes, propagation of multi-paths, and path loss. To extenuate these concerns for SGs, in this paper, we have presented a new version of the standard Optimized Link State Routing (OLSR) protocol for SGs to improve the management of control intervals that enhance the efficiency of the standard OLSR protocol without affecting its reliability. The adapted fault tolerant approach makes the proposed protocol more reliable for industrial applications. The process of grouping of nodes supports managing the total network cost by reducing severe flooding and evaluating an optimized head of clusters. The head of the unit is nominated according to the first defined expectation factor. With a sequence of rigorous performance evaluations under simulation parameters, the simulation results show that the proposed version of OLSR has proliferated Quality of Service (QoS) metrics when it is compared against the state-of-the-art-based conventional protocols, namely, standard OLSR, DSDV, AOMDV and hybrid routing technique.

Indexed as

Computer Communication NetworksWireless TechnologyAlgorithmsComputer SimulationReproducibility of Resultsad hoc networkIndustry 4.0MANETOLSRroutingSmart Grid (SGs)

Identifiers

PMID34640792
PMCPMC8512795

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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.