Evidence map›Paper›PMID 33451047›Full record

ArticleSensors (Basel, Switzerland)2021

Energy-Efficient Hybrid Routing Protocol for IoT Communication Systems in 5G and Beyond.

Mohammad Baniata, Haftu Tasew Reda, Naveen Chilamkurti, Alsharif Abuadbba

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Data transmission reduction formalization for cloud offloading-based IoT systems.Journal of cloud computing (Heidelberg, Germany) · 2023
    Article
  6. Review
  7. Article
  8. Article
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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

4 authors.

Mohammad BaniataDepartment of Computer Science and Engineering, Soongsil University, Seoul 06978, Korea.ORCID 0000-0002-4106-4559
Haftu Tasew RedaDepartment of Computer Science and IT, La Trobe University, Plenty Rd., Bundoora, VIC 3086, Australia.ORCID 0000-0003-2063-9197
Naveen ChilamkurtiDepartment of Computer Science and IT, La Trobe University, Plenty Rd., Bundoora, VIC 3086, Australia.ORCID 0000-0002-5396-8897
Alsharif AbuadbbaData61 Cybersecurity Research, CSIRO, Marsfield, NSW 2122, Australia.ORCID 0000-0001-9695-7947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major concerns in wireless sensor networks (WSNs) is most of the sensor nodes are powered through limited lifetime of energy-constrained batteries, which majorly affects the performance, quality, and lifetime of the network. Therefore, diverse clustering methods are proposed to improve energy efficiency of the WSNs. In the meantime, fifth-generation (5G) communications require that several Internet of Things (IoT) applications need to adopt the use of multiple-input multiple-output (MIMO) antenna systems to provide an improved capacity over multi-path channel environment. In this paper, we study a clustering technique for MIMO-based IoT communication systems to achieve energy efficiency. In particular, a novel MIMO-based energy-efficient unequal hybrid clustering (MIMO-HC) protocol is proposed for applications on the IoT in the 5G environment and beyond. Experimental analysis is conducted to assess the effectiveness of the suggested MIMO-HC protocol and compared with existing state-of-the-art research. The proposed MIMO-HC scheme achieves less energy consumption and better network lifetime compared to existing techniques. Specifically, the proposed MIMO-HC improves the network lifetime by approximately 3× as long as the first node and the final node dies as compared with the existing protocol. Moreover, the energy that cluster heads consume on the proposed MIMO-HC is 40% less than that expended in the existing protocol.

Indexed as

5G communicationenergy efficiencyInternet of Thingsrouting protocolwireless sensor network

Identifiers

PMID33451047
PMCPMC7828529

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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.