Evidence map›Paper›PMID 29427226›Full record

ArticleEnvironmental monitoring and assessment2018

Mobile platform sampling for designing environmental sensor networks.

Setia Budi, Paulo de Souza, Greg Timms, Ferry Susanto, Vishv Malhotra, Paul Turner

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Setia BudiSchool of Engineering & ICT, University of Tasmania, Hobart, TAS, 7001, Australia. Setia.Budi@utas.edu.au.ORCID http://orcid.org/0000-0003-1408-7808
Paulo de SouzaData61, Commonwealth Scientific and Industrial Research Organisation, Sandy Bay, TAS, 7005, Australia.
Greg TimmsData61, Commonwealth Scientific and Industrial Research Organisation, Sandy Bay, TAS, 7005, Australia.
Ferry SusantoData61, Commonwealth Scientific and Industrial Research Organisation, Sandy Bay, TAS, 7005, Australia.
Vishv MalhotraSchool of Engineering & ICT, University of Tasmania, Hobart, TAS, 7001, Australia.
Paul TurnerSchool of Engineering & ICT, University of Tasmania, Hobart, TAS, 7001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a method to design the deployment of sensor nodes in a new region where historical data is not available. A number of mobile platforms are simulated to build initial knowledge of the region. Further, an evolutionary algorithm is employed to find the optimum placement of a given number of sensor nodes that best represents the region of interest.

Indexed as

AlgorithmsEnvironmental MonitoringTasmaniaData samplingEnvironmental monitoringEvolutionary algorithmOptimisationSensor networks designSpatial interpolation

Identifiers

PMID29427226

What OpenQuestion holds

Textmetadata
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.