Evidence map›Paper›PMID 32796687›Full record

ArticleSensors (Basel, Switzerland)2020

An Analysis Scheme of Balancing Energy Consumption with Mobile Velocity Control Strategy for Wireless Rechargeable Sensor Networks.

Shun-Miao Zhang, Sheng-Bo Gao, Thi-Kien Dao, De-Gen Huang, Jin Wang, Hong-Wei Yao, Osama Alfarraj, Amr Tolba

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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

8 authors.

Shun-Miao ZhangSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Sheng-Bo GaoFujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 3500118, China.
Thi-Kien DaoFujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 3500118, China.
De-Gen HuangSchool of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China.
Jin WangFujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 3500118, China.ORCID 0000-0001-5473-8738
Hong-Wei YaoFujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 3500118, China.
Osama AlfarrajComputer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia.ORCID 0000-0001-6111-8617
Amr TolbaComputer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia.ORCID 0000-0003-3439-6413

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wireless Rechargeable Sensor Networks (WRSN) are not yet fully functional and robust due to the fact that their setting parameters assume fixed control velocity and location. This study proposes a novel scheme of the WRSN with mobile sink (MS) velocity control strategies for charging nodes and collecting its data in WRSN. Strip space of the deployed network area is divided into sub-locations for variant corresponding velocities based on nodes energy expenditure demands. The points of consumed energy bottleneck nodes in sub-locations are determined based on gathering data of residual energy and expenditure of nodes. A minimum reliable energy balanced spanning tree is constructed based on data collection to optimize the data transmission paths, balance energy consumption, and reduce data loss during transmission. Experimental results are compared with the other methods in the literature that show that the proposed scheme offers a more effective alternative in reducing the network packet loss rate, balancing the nodes' energy consumption, and charging capacity of the nodes than the competitors.

Indexed as

mobile gathering and chargingspeed controlwireless rechargeable sensor networks

Identifiers

PMID32796687
PMCPMC7472165

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.