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• W4229005865 abstract "The wireless sensor network’s (WSNs) lifetime is mainly dependent on the RE of the sensor nodes (SeN). In recent years, energy minimization in a WSN has been a prominent research topic, and numerous solutions have been proposed. This research focuses on the energy minimization of the SeNs where firstly, K-medoid clustering algorithm is applied to create clusters. Second, a weighted cluster head selection technique is used to choose a cluster head (CH) by integrating three independent weights associated with an SeN: energy, distance from the centroid, and distance from the sink node (SN). According to the energy level and distance from the SN and cluster’s centre, each node is assigned a constant weight. The simulation results are compared to existing methodologies, and the results show that the suggested network’s lifetime enhances." @default.
• W4229005865 created "2022-05-08" @default.
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• W4229005865 date "2022-05-06" @default.
• W4229005865 modified "2023-09-25" @default.
• W4229005865 title "A Weighted Cluster Head Selection Algorithm for Energy Efficient Wireless Sensor Networks" @default.
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• W4229005865 doi "https://doi.org/10.1155/2022/3055178" @default.
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