Evidence map›Paper›PMID 28509849›Full record

ArticleSensors (Basel, Switzerland)2017

Low Duty-Cycling MAC Protocol for Low Data-Rate Medical Wireless Body Area Networks.

Chongqing Zhang, Yinglong Wang, Yongquan Liang, Minglei Shu, Jinquan Zhang, Lina Ni

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. 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.

Chongqing ZhangCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. zhangchongqing@sdust.edu.cn.
Yinglong WangShandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center, National Supercomputer Center in Jinan, Jinan 250101, China. wangyl@sdas.org.
Yongquan LiangCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. lyq@sdust.edu.cn.
Minglei ShuShandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center, National Supercomputer Center in Jinan, Jinan 250101, China. shuml@sdas.org.
Jinquan ZhangCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. tjzhangjinquan@126.com.
Lina NiCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China. nln2004@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wireless body area networks (WBANs) are severely energy constrained, and how to improve the energy efficiency so as to prolong the network lifetime as long as possible is one of the most important goals of WBAN research. Low data-rate WBANs are promising to cut down the energy consumption and extend the network lifetime. Considering the characteristics and demands of low data-rate WBANs, a low duty-cycling medium access control (MAC) protocol is specially designed for this kind of WBAN in this paper. Longer superframes are exploited to cut down the energy consumed on the transmissions and receptions of redundant beacon frames. Insertion time slots are embedded into the inactive part of a superframe to deliver the frames and satisfy the quality of service (QoS) requirements. The number of the data subsections in an insertion time slot can be adaptively adjusted so as to accommodate low data-rate WBANs with different traffic. Simulation results show that the proposed MAC protocol performs well under the condition of low data-rate monitoring traffic.

Indexed as

energy-efficientlow data-ratelow duty-cyclingMAC protocolwireless body area networks (WBANs)

Identifiers

PMID28509849
PMCPMC5470810

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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.