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    Internal-genetic-algorithm-based, energy-efficient clusters
    (Maejo Univ, 2016) Bayrakli, Selim; Erdogan, Senol Zafer; Kilinc, Turgut
    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.