Evidence map›Paper›PMID 32244668›Full record

ArticleSensors (Basel, Switzerland)2020

An Efficient Superframe Structure with Optimal Bandwidth Utilization and Reduced Delay for Internet of Things Based Wireless Sensor Networks.

Sangrez Khan, Ahmad Naseem Alvi, Muhammad Awais Javed, Byeong-Hee Roh, Jehad Ali

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Sangrez KhanDepartment of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan.ORCID 0000-0003-4261-9656
Ahmad Naseem AlviDepartment of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan.ORCID 0000-0002-7771-9115
Muhammad Awais JavedDepartment of Electrical and Computer Engineering, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan.ORCID 0000-0001-5816-097X
Byeong-Hee RohDepartment of Computer Engineering, Ajou University, Suwon 16499, Korea.ORCID 0000-0003-2509-4210
Jehad AliDepartment of Computer Engineering, Ajou University, Suwon 16499, Korea.ORCID 0000-0002-0589-7924

Funding

Ministry of Science and ICT (MSIT), Korea IITP-2019-2018-0-01431
6 · The paper itself

Abstract

Internet of Things (IoT) is a promising technology that uses wireless sensor networks to enable data collection, monitoring, and transmission from the physical devices to the Internet. Due to its potential large scale usage, efficient routing and Medium Access Control (MAC) techniques are vital to meet various application requirements. Most of the IoT applications need low data rate and low powered wireless transmissions and IEEE 802.15.4 standard is mostly used in this regard which offers superframe structure at the MAC layer. However, for IoT applications where nodes have adaptive data traffic, the standard has some limitations such as bandwidth wastage and latency. In this paper, a new superframe structure is proposed that is backward compatible with the existing parameters of the standard. The proposed superframe overcomes limitations of the standard by fine-tuning its superframe structure and squeezing the size of its contention-free slots. Thus, the proposed superframe adjusts its duty cycle according to the traffic requirements and accommodates more nodes in a superframe structure. The analytical results show that our proposed superframe structure has almost 50% less delay, accommodate more nodes and has better link utilization in a superframe as compared to the IEEE 802.15.4 standard.

Indexed as

Internet of Thingssuperframe structurewireless sensor networks

Identifiers

PMID32244668
PMCPMC7180611

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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.