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In clustering-based Wireless Sensor Networks (WSNs), a certain sensing area is divided into many sub-areas. Cluster formation and cluster head selection are well done in the setup phase. With the predetermined probability and random, every round in the WSNs has the different cluster numbers and cluster heads. However, the well known technique in cluster-based WSN is especially the Low Energy Adaptive Cluster Hierarchy (LEACH) and its energy performance is improved due to the scheme of clustering, probability, and random. Therefore, in order to evenly consume nodes' energy, this paper proposes a Fixed Optimal Cluster (FOC) numbers that is to analyze the entire network first to have the optimal cluster numbers and then apply it to form the optimal cluster numbers.
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