Evidence map›Paper›PMID 30261628›Full record

ArticleSensors (Basel, Switzerland)2018

Green Communication for Wireless Body Area Networks: Energy Aware Link Efficient Routing Approach.

Muhammad Anwar, Abdul Hanan Abdullah, Ayman Altameem, Kashif Naseer Qureshi, Farhan Masud, Muhammad Faheem, Yue Cao, Rupak Kharel

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Bayesian-Edge system for classification and segmentation of skin lesions in Internet of Medical Things.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
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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

8 authors.

Muhammad AnwarSchool of Computing, Universiti Teknologi Malaysia, Johor Bahru 81300, Malaysia. anwar.muhammad@ieee.org.ORCID 0000-0002-0615-303
Abdul Hanan AbdullahSchool of Computing, Universiti Teknologi Malaysia, Johor Bahru 81300, Malaysia. hanan@utm.my.
Ayman AltameemCollege of Applied Studies and Community Services, King Saud University, Riyadh 11564, Saudi Arabia. aaltameem@ksu.edu.sa.
Kashif Naseer QureshiDepartment of Computer Science, Bahria University Islamabad, Islamabad 44000, Pakistan. knaseer.buic@bahria.edu.pk.ORCID 0000-0003-3045-8402
Farhan MasudSchool of Computing, Universiti Teknologi Malaysia, Johor Bahru 81300, Malaysia. farhan.contact@gmail.com.ORCID 0000-0002-4076-1600
Muhammad FaheemSchool of Computing, Universiti Teknologi Malaysia, Johor Bahru 81300, Malaysia. muhammad.faheem@agu.edu.tr.ORCID 0000-0003-4628-4486
Yue CaoDepartment of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE2 1HL, UK. yue.cao@northumbria.ac.uk.ORCID 0000-0002-2098-7637
Rupak KharelSchool of Engineering, Manchester Metropolitan University, Manchester M15GD, UK. r.kharel@mmu.ac.uk.ORCID 0000-0002-8632-7439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technological advancement in wireless communication has led to the invention of wireless body area networks (WBANs), a cutting-edge technology in healthcare applications. WBANs interconnect with intelligent and miniaturized biomedical sensor nodes placed on human body to an unattended monitoring of physiological parameters of the patient. These sensors are equipped with limited resources in terms of computation, storage, and battery power. The data communication in WBANs is a resource hungry process, especially in terms of energy. One of the most significant challenges in this network is to design energy efficient next-hop node selection framework. Therefore, this paper presents a green communication framework focusing on an energy aware link efficient routing approach for WBANs (ELR-W). Firstly, a link efficiency-oriented network model is presented considering beaconing information and network initialization process. Secondly, a path cost calculation model is derived focusing on energy aware link efficiency. A complete operational framework ELR-W is developed considering energy aware next-hop link selection by utilizing the network and path cost model. The comparative performance evaluation attests the energy-oriented benefit of the proposed framework as compared to the state-of-the-art techniques. It reveals a significant enhancement in body area networking in terms of various energy-oriented metrics under medical environments.

Indexed as

energy efficiencyrouting protocolwearable sensorswireless body area networks (WBANs)

Identifiers

PMID30261628
PMCPMC6210318

What OpenQuestion holds

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LicenceCC BY
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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.