Mobile Charging Strategy for Wireless Rechargeable Sensor Networks.

Tzung-Shi Chen, Jen-Jee Chen, Xiang-You Gao, Tzung-Cheng Chen

Abstract 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 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Charging Scheduling Method for Wireless Rechargeable Sensor Networks Based on Energy Consumption Rate Prediction for Nodes.Sensors (Basel, Switzerland) · 2024
Article
Deep Reinforcement Learning-Based Online One-to-Multiple Charging Scheme in Wireless Rechargeable Sensor Network.Sensors (Basel, Switzerland) · 2023
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

4 authors.

Tzung-Shi ChenDepartment of Computer Science and Information Engineering, National University of Tainan, Tainan 700301, Taiwan.ORCID 0000-0002-8194-0760

Jen-Jee ChenCollege of Artificial Intelligence, National Yang Ming Chiao Tung University, Hsinchu City 300093, Taiwan.ORCID 0000-0002-5453-3887

Xiang-You GaoDepartment of Computer Science and Information Engineering, National University of Tainan, Tainan 700301, Taiwan.

Tzung-Cheng ChenDepartment of Aerospace and Systems Engineering, Feng Chia University, Taichung 407802, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot (

Indexed as

energy efficiencymobile charging robottraveling salesman problemVoronoi diagramwireless rechargeable sensor networks

Identifiers

PMID35009897

DOI10.3390/s22010359

PMCPMC8749582

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.