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K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe14eeebd84042748d29a142df56720b

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network

About this item

Full title

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-11, Vol.24 (23), p.7603

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the energy level of networked sensors and prolonging the network lifetime. While the traditional bee colony optimization technique has been widely used as a clustering technique in WSN, it mostly suffers from energy efficiency and network performance. Th...

Alternative Titles

Full title

K-Means Based Bee Colony Optimization for Clustering in Heterogeneous Sensor Network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fe14eeebd84042748d29a142df56720b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe14eeebd84042748d29a142df56720b

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24237603

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