Evidence map›Paper›PMID 35161687›Full record

ArticleSensors (Basel, Switzerland)2022

Improving the Deployment of WSNs by Localized Detection of Covered Redundant Nodes in Industry 4.0 Applications.

Marwa Hussein Hamad Aljubori, Vahid Khalilpour Akram, Moharram Challenger

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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, 5 citations in OpenAlex.

  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

3 authors at 2 institutions in 2 countries.

Marwa Hussein Hamad AljuboriInternational Computer Institute, Ege University, Izmir 3100, Turkey.
Vahid Khalilpour AkramInternational Computer Institute, Ege University, Izmir 3100, Turkey.
Moharram ChallengerDepartment of Computer Science, University of Antwerp, 2020 Antwerp, Belgium.ORCID 0000-0002-5436-6070
Ege University · TRUniversity of Antwerp · BE

Funding

Flanders Make Strategic Research Center AssistedDfAUniversity of Antwerp 45838
6 · The paper itself

Abstract

Wireless sensor networks can be used as cost-effective monitoring and automation platforms in smart manufacturing and Industry 4.0. Maximizing the covered area and increasing the network lifetime are two challenging tasks in wireless sensor networks. A feasible solution for maximizing the coverage area and network lifetime is detecting and relocating the covered redundant nodes. A covered redundant node is a node whose covered area is also covered by the other active nodes in the network. After identifying the covered redundant nodes, putting them in sleep mode can increase the network lifetime. In addition, moving the detected redundant nodes to the uncovered locations can improve the overall covered area by the sensor nodes. However, finding the redundant nodes is an NP-complete problem. In this paper, we propose a localized distributed algorithm for identifying the redundant nodes based on the 2-hop local neighborhood information of the nodes. The proposed algorithm uses the existing connections between the neighbors of each sensor node to decide the redundancy of the node. The algorithm is localized and does not need the entire topology of the network or the coordinates of the nodes.

Indexed as

Computer Communication NetworksWireless TechnologyAlgorithmsSleepcoverage redundancyIndustry 4.0redundant nodeswireless sensor networks

Identifiers

PMID35161687
PMCPMC8837923
OpenAlexW4210618451

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.