Energy efficient clustering protocol in wireless sensor networks using an adaptive hybrid optimization algorithm

Nature·Jan 27

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Researchers are exploring various methods to improve energy efficiency in wireless sensor networks, including the use of adaptive hybrid optimization algorithms and clustering protocols. Different approaches, such as hybrid fuzzy clustering and deep neural networks, are being investigated to optimize energy efficiency and data collection in these networks. The specific techniques and applications being developed vary, with some focusing on soil monitoring, marine environmental monitoring, and other uses of wireless sensor networks.

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