Bayrakli, SelimErdogan, Senol ZaferKilinc, Turgut2024-06-122024-06-1220161905-7873https://hdl.handle.net/20.500.14551/24675We 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/closedAccessWireless Sensor NetworksEnergy-Efficient ClusteringGenetic AlgorithmArticle103294303Q4WOS:0003884485000052-s2.0-84994750375Q3