Evidence map›Paper›PMID 30583532›Full record

ArticleSensors (Basel, Switzerland)2018

Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids.

Fei Fan, Qiaoling Ji, Gongping Wu, Man Wang, Xuhui Ye, Quanjie Mei

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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.

Fei FanSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. fei-fan@whu.edu.cn.ORCID 0000-0003-1196-5847
Qiaoling JiSchool of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan 430073, China. 2006181@wtu.edu.cn.
Gongping WuSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. gpwu@whu.edu.cn.
Man WangSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. manwang@whu.edu.cn.ORCID 0000-0003-2675-8701
Xuhui YeSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. xhye@whu.edu.cn.
Quanjie MeiSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China. meiquanjie@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wireless sensor network. To establish an effective smart grid monitoring system, this research focuses on the design of an effective and safe dynamic network coverage and network nodes deployment method. Multiple simulation scenarios are implemented to explore the variation of network performance with different parameters. In addition, the dynamic barrier coverage method for the actual scene of smart grid monitoring considers the balance between network performance and financial costs.

Indexed as

barrier coveragedelay-tolerant sensor networkdistributed algorithminspection robotordinal potential gamereal-time networksmart gridwireless sensor network

Identifiers

PMID30583532
PMCPMC6338988

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.