Evidence map›Paper›PMID 29439439›Full record

ArticleSensors (Basel, Switzerland)2018

Efficient Deployment of Key Nodes for Optimal Coverage of Industrial Mobile Wireless Networks.

Xiaomin Li, Di Li, Zhijie Dong, Yage Hu, Chengliang Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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. A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective.IEEE access : practical innovations, open solutions · 2018
    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

5 authors.

Xiaomin LiSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China. xiaocao0624@163.com.
Di LiSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China. itdili@scut.edu.cn.
Zhijie DongSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China. Zhijie_Dong@163.com.
Yage HuSuper Micro Computer, Inc., San Jose 95131, CA, USA. yagejhu@gmail.com.
Chengliang LiuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. chlliu@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, industrial wireless networks (IWNs) have been transformed by the introduction of mobile nodes, and they now offer increased extensibility, mobility, and flexibility. Nevertheless, mobile nodes pose efficiency and reliability challenges. Efficient node deployment and management of channel interference directly affect network system performance, particularly for key node placement in clustered wireless networks. This study analyzes this system model, considering both industrial properties of wireless networks and their mobility. Then, static and mobile node coverage problems are unified and simplified to target coverage problems. We propose a novel strategy for the deployment of clustered heads in grouped industrial mobile wireless networks (IMWNs) based on the improved maximal clique model and the iterative computation of new candidate cluster head positions. The maximal cliques are obtained via a double-layer Tabu search. Each cluster head updates its new position via an improved virtual force while moving with full coverage to find the minimal inter-cluster interference. Finally, we develop a simulation environment. The simulation results, based on a performance comparison, show the efficacy of the proposed strategies and their superiority over current approaches.

Indexed as

clustered networkdeploymentindustrial wireless networkmaximal cliquereliability

Identifiers

PMID29439439
PMCPMC5856136

What OpenQuestion holds

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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.