Internal-genetic-algorithm-based, energy-efficient clusters

Küçük Resim Yok

Tarih

2016

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Maejo Univ

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

We propose an internal-genetic-algorithm-based, energy-efficient clustering (INGABEEC) method to enhance the lifetime of wireless sensor networks (WSNs). The proposed method generates energy-efficient clusters by considering several aspects of the WSNs. The INGABEEC generates energy-efficient clusters by genetic algorithm, where cluster heads are changed dynamically. Furthermore, the INGABEEC is improved by using an intra-cluster communication between non-cluster head nodes.

Açıklama

Anahtar Kelimeler

Wireless Sensor Networks, Energy-Efficient Clustering, Genetic Algorithm

Kaynak

Maejo International Journal Of Science And Technology

WoS Q Değeri

Q4

Scopus Q Değeri

Q3

Cilt

10

Sayı

3

Künye