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• W4312204604 abstract "The energy efficiency in wireless sensor networks (WSNs) is a significant challenge. A clustering-based approach is an energy-saving approach in WSN. The practical clustering approach divides the network into various clusters that directly affect the total energy consumption and reduce the network lifetime of the WSN. As a result, this paper introduces novel energy-efficient clustering approaches for cluster head (CH) selection and cluster formulation. The cluster head (CH) selection is designed based on the threshold-based advanced LEACH (ADV-LEACH2) approach. The cluster formulation (sensor node distribution) among the cluster heads is done with modified fuzzy c-mean (MFCM) approaches. The clusters are formed using the MFCM approach, and cluster heads (CHs) are selected using ADV-LEACH2. The cluster formulation and head selection are selected at the beginning of each round. The MFCM approach forms balanced clusters and balances sensor node distribution among the cluster heads. The proposed approach maintains the cluster head energy. The experimental simulation outcome justifies that the proposed approach, TEEECH surpasses the existing clustering approach by an average of 13%. The comparison with DEC, SEP-E, EBCS, MEDDEEC, and EDDEEC presents the TEEECH approach to maintain the CH energy and prolong the network lifetime. The proposed approach, TEEECH, also significantly improves the network stability and lifetime based on Half node dead (HND)." @default.
• W4312204604 created "2023-01-04" @default.
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• W4312204604 date "2023-04-01" @default.
• W4312204604 modified "2023-10-16" @default.
• W4312204604 title "TEEECH: Three-Tier Extended Energy Efficient Clustering Hierarchy Protocol for Heterogeneous Wireless Sensor Network" @default.
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• W4312204604 doi "https://doi.org/10.1016/j.eswa.2022.119448" @default.
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