Evidence map›Paper›PMID 33525483›Full record

ArticleSensors (Basel, Switzerland)2021

A Distributed Multi-Hop Intra-Clustering Approach Based on Neighbors Two-Hop Connectivity for IoT Networks.

Mohamed Sofiane Batta, Hakim Mabed, Zibouda Aliouat, Saad Harous

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohamed Sofiane BattaLRSD Laboratory, Computer Science Department, Ferhat Abbas University-Setif 1, 19000 Setif, Algeria.ORCID 0000-0002-2788-4892
Hakim MabedFEMTO-ST Institute/DISC, University of Bourgogne Franche-Comte, 25200 Montbeliard, France.
Zibouda AliouatLRSD Laboratory, Computer Science Department, Ferhat Abbas University-Setif 1, 19000 Setif, Algeria.ORCID 0000-0002-1811-6306
Saad HarousCollege of Information Technology, United Arab Emirates University, 15551 Al-Ain, United Arab Emirates.ORCID 0000-0001-6524-7352

Funding

United Arab Emirates University/UPAR 31T102-UPAR-1-2017
6 · The paper itself

Abstract

Under a dense and large IoT network, a star topology where each device is directly connected to the Internet gateway may cause serious waste of energy and congestion issues. Grouping network devices into clusters provides a suitable architecture to reduce the energy consumption and allows an effective management of communication channels. Although several clustering approaches were proposed in the literature, most of them use the single-hop intra-clustering model. In a large network, the number of clusters increases and the energy draining remains almost the same as in un-clustered architecture. To solve the problem, several approaches use the k-hop intra-clustering to generate a reduced number of large clusters. However, k-hop proposed schemes are, generally, centralized and only assume the node direct neighbors information which lack of robustness. In this regard, the present work proposes a distributed approach for the k-hop intra-clustering called Distributed Clustering based 2-Hop Connectivity (DC2HC). The algorithm uses the two-hop neighbors connectivity to elect the appropriate set of cluster heads and strengthen the clusters connectivity. The objective is to optimize the set of representative cluster heads to minimize the number of long range communication channels and expand the network lifetime. The paper provides the convergence proof of the proposed solution. Simulation results show that our proposed protocol outperforms similar approaches available in the literature by reducing the number of generated cluster heads and achieving longer network lifetime.

Indexed as

distributed clusteringdynamic intra-clusteringIoTmulti-hop clusteringWSN

Identifiers

PMID33525483
PMCPMC7865360

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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.