Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 1

Energy-Efficient Hybrid K-Means Algorithm for Clustered Wireless Sensor Networks

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 4 (2017)

DOI
10.11591/ijece.v7i4.pp2054-2060
ISSN
2088-8708, 2088-8708
Published
2017-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Energy efficiency is the most critical challenge in wireless sensor network. The transmission energy is the most consuming task in sensor nodes, specifically in large distances. Clustered routing techniques are efficient approaches used to lower the transmission energy and maximize the network’s lifetime. In this paper, a hybrid clustered routing approach is proposed for energy optimization in WSN. This approach is based on K-Means clustering algorithm and LEACH protocol. The simulation results using MATLAB tool have shown that the proposed hybrid approach outperforms LEACH protocol and optimizes the nodes energy and the network lifetime.

Collaboration network of the authors

14 authors · 32 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Abdelmalek Essaâdi University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hamid BarkoukAbdelmalek Essaâdi University5
Younes El AssariAbdelmalek Essaâdi University4
Ahmed El OualkadiAbdelmalek Essaâdi University4
Nihad El GhouchAbdelmalek Essaâdi University2
Oussama NdamaAbdelmalek Essaâdi University2
Ismail BensassiAbdelmalek Essaâdi University2
Imad Ez‐zaziAbdelmalek Essaâdi University1
Abdelhamid ZouhairAbdelmalek Essaâdi University1
Al Achhab MohammedAbdelmalek Essaâdi University1
Mohamed KouissiAbdelmalek Essaâdi University1
Safae NdamaAbdelmalek Essaâdi University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Energy-Efficient Hybrid K-Means Algorithm for Clustered  Wireless Sensor Networks</dc:title><dc:creator>Mahboub, Aziz</dc:creator><dc:creator>Arioua, Mounir</dc:creator><dc:creator>En-Naimi, El Mokhtar</dc:creator><dc:description>&lt;jats:p&gt;Energy efficiency is the most critical challenge in wireless sensor network. The transmission energy is the most consuming task in sensor nodes, specifically in large distances. Clustered routing techniques are efficient approaches used to lower the transmission energy and maximize the network’s lifetime. In this paper, a hybrid clustered routing approach is proposed for energy optimization in WSN. This approach is based on K-Means clustering algorithm and LEACH protocol. The simulation results using MATLAB tool have shown that the proposed hybrid approach outperforms LEACH protocol and optimizes the nodes energy and the network lifetime.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i4.pp2054-2060</dc:identifier><dc:identifier>10.11591/ijece.v7i4.pp2054-2060</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 4 (2017); 2054</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/7745/7230</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>