Routing and Clustering of Sensor Nodes in the Honeycomb Architecture

Energy is the most valuable resource in wireless sensor networks; this resource is limited and much in demand during routing and communication between sensor nodes. Hierarchy structuring of the network into clusters allows reducing the energy consumption by using small distance transmissions within...

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Main Authors: Amine Rais, Khalid Bouragba, Mohammed Ouzzif
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Computer Networks and Communications
Online Access:http://dx.doi.org/10.1155/2019/4861294
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spelling doaj-c569836d13a9461fad872ebaf5135d8c2020-11-24T21:32:29ZengHindawi LimitedJournal of Computer Networks and Communications2090-71412090-715X2019-01-01201910.1155/2019/48612944861294Routing and Clustering of Sensor Nodes in the Honeycomb ArchitectureAmine Rais0Khalid Bouragba1Mohammed Ouzzif2Laboratory RITM, ENSEM, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory RITM, ENSEM, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory RITM, ENSEM, Hassan II University of Casablanca, Casablanca, MoroccoEnergy is the most valuable resource in wireless sensor networks; this resource is limited and much in demand during routing and communication between sensor nodes. Hierarchy structuring of the network into clusters allows reducing the energy consumption by using small distance transmissions within clusters in a multihop manner. In this article, we choose to use a hybrid routing protocol named Efficient Honeycomb Clustering Algorithm (EHCA), which is at the same time hierarchical and geographical protocol by using honeycomb clustering. This kind of clustering guarantees the balancing of the energy consumption through changing in each round the location of the cluster head, which is in a given vertex of the honeycomb cluster. The combination of geographical and hierarchical routing with the use of honeycomb clustering has proved its efficiency; the performances of our protocol outperform the existing protocols in terms of the number of nodes alive, the latency of data delivery, and the percentage of successful data delivery to the sinks. The simulations testify the superiority of our protocol against the existing geographical and hierarchical protocols.http://dx.doi.org/10.1155/2019/4861294
collection DOAJ
language English
format Article
sources DOAJ
author Amine Rais
Khalid Bouragba
Mohammed Ouzzif
spellingShingle Amine Rais
Khalid Bouragba
Mohammed Ouzzif
Routing and Clustering of Sensor Nodes in the Honeycomb Architecture
Journal of Computer Networks and Communications
author_facet Amine Rais
Khalid Bouragba
Mohammed Ouzzif
author_sort Amine Rais
title Routing and Clustering of Sensor Nodes in the Honeycomb Architecture
title_short Routing and Clustering of Sensor Nodes in the Honeycomb Architecture
title_full Routing and Clustering of Sensor Nodes in the Honeycomb Architecture
title_fullStr Routing and Clustering of Sensor Nodes in the Honeycomb Architecture
title_full_unstemmed Routing and Clustering of Sensor Nodes in the Honeycomb Architecture
title_sort routing and clustering of sensor nodes in the honeycomb architecture
publisher Hindawi Limited
series Journal of Computer Networks and Communications
issn 2090-7141
2090-715X
publishDate 2019-01-01
description Energy is the most valuable resource in wireless sensor networks; this resource is limited and much in demand during routing and communication between sensor nodes. Hierarchy structuring of the network into clusters allows reducing the energy consumption by using small distance transmissions within clusters in a multihop manner. In this article, we choose to use a hybrid routing protocol named Efficient Honeycomb Clustering Algorithm (EHCA), which is at the same time hierarchical and geographical protocol by using honeycomb clustering. This kind of clustering guarantees the balancing of the energy consumption through changing in each round the location of the cluster head, which is in a given vertex of the honeycomb cluster. The combination of geographical and hierarchical routing with the use of honeycomb clustering has proved its efficiency; the performances of our protocol outperform the existing protocols in terms of the number of nodes alive, the latency of data delivery, and the percentage of successful data delivery to the sinks. The simulations testify the superiority of our protocol against the existing geographical and hierarchical protocols.
url http://dx.doi.org/10.1155/2019/4861294
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AT khalidbouragba routingandclusteringofsensornodesinthehoneycombarchitecture
AT mohammedouzzif routingandclusteringofsensornodesinthehoneycombarchitecture
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