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• W3136006386 abstract "Abstract In this paper, we propose an optimal cluster-based multiple sink reconnection technology for wireless sensor networks using a hybrid optimization algorithm. The proposed design used an intermediate sensor / mobile node next to the sink node and a sensor node ready to transmit data. Here, the weighted k-mean algorithm is converted to a cluster node. The optimal cluster head code was chosen using a mass optimization method that targets the available energy and available bandwidth for successfully transferring data without node optimization. So with resource updates, you can find the right location for your sink node for better data transfer." @default.
• W3136006386 created "2021-03-29" @default.
• W3136006386 creator A5073043622 @default.
• W3136006386 creator A5081432266 @default.
• W3136006386 date "2021-03-09" @default.
• W3136006386 modified "2023-09-23" @default.
• W3136006386 title "Intelligent Decision Making Algorithm for Balanced Cluster Formation in Wireless Sensor Networks" @default.
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• W3136006386 doi "https://doi.org/10.21203/rs.3.rs-197461/v1" @default.
• W3136006386 hasPublicationYear "2021" @default.
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