Bayrakli, SelimErdogan, Senol ZaferKilinc, Turgut2024-07-122024-07-1220161905-78732-s2.0-84994750375https://hdl.handle.net/20.500.12415/8315We 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.eninfo:eu-repo/semantics/openAccesswireless sensor networksenergy-efficient clusteringgenetic algorithmArticle3033Q329410WOS:000388448500005Q4