Internal-genetic-algorithm-based, energy-efficient clusters
Maejo International Journal of Science and Technology, cilt.10, sa.3, ss.294-303, 2016 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 10 Sayı: 3
- Basım Tarihi: 2016
- Dergi Adı: Maejo International Journal of Science and Technology
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.294-303
- Anahtar Kelimeler: Energy-efficient clustering, Genetic algorithm, Wireless sensor networks
- Maltepe Üniversitesi Adresli: Evet
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.