Evidence map›Paper›PMID 30563130›Full record

ArticleSensors (Basel, Switzerland)2018

Joint Transmission Power Control and Relay Cooperation for WBAN Systems.

Hongyun Zhang, Farzad Safaei, Le Chung Tran

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Current Trends on Green Wireless Sensor Networks.Sensors (Basel, Switzerland) · 2021
    Review
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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

3 authors.

Hongyun ZhangArtificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing 100071, China. grandcloud88@163.com.ORCID 0000-0002-9217-3050
Farzad SafaeiSchool of Electrical, Computer and Telecommunications Engineering, Faculty of Engineering and Information Science, University of Wollongong, Wollongong, NSW 2522, Australia. farzad@uow.edu.au.ORCID 0000-0002-4322-4448
Le Chung TranSchool of Electrical, Computer and Telecommunications Engineering, Faculty of Engineering and Information Science, University of Wollongong, Wollongong, NSW 2522, Australia. lctran@uow.edu.au.ORCID 0000-0002-2677-8721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving transmission reliability is a crucial challenge for Wireless Body Area Networks (WBANs) because of the instability of channel conditions and the stringent Packet Loss Ratio (PLR) requirement for many WBANs applications. On the other hand, limited by the size of WBAN nodes, the energy consumption of WBAN nodes should be minimized. In this paper, we jointly consider transmission power control, dynamic slot scheduling and two-hop cooperative mechanism and propose an Autocorrelation-based Adaptive Transmission (AAT) scheme that achieves a better trade-off between transmission reliability and energy consumption for WBAN systems. The new scheme is designed to be compatible with IEEE 802.15.6. We evaluated the performance of the newly proposed scheme by importing the real channel datasets into our simulation model. Simulation results demonstrate that the AAT method can effectively improve the transmission reliability while reducing the energy consumption. We also provide the performance evaluation from three perspectives, namely packet error ratio, energy consumption and energy efficiency, and provide recommendations on the application of the two-hop cooperative mechanism associated with the proposed AAT in the contexts of WBANs.

Indexed as

channel autocorrelationdynamic slot schedulingIEEE 802.15.6relay cooperationtransmission power controlwireless body area networks

Identifiers

PMID30563130
PMCPMC6308945

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.