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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Series: | Journal of Computer Networks and Communications |
Online Access: | http://dx.doi.org/10.1155/2019/4861294 |
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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 |
work_keys_str_mv |
AT aminerais routingandclusteringofsensornodesinthehoneycombarchitecture AT khalidbouragba routingandclusteringofsensornodesinthehoneycombarchitecture AT mohammedouzzif routingandclusteringofsensornodesinthehoneycombarchitecture |
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1725957346447851520 |