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- W4328134621 abstract "A coverage optimization method is suggested to improved node coverage in wireless sensor networks (WSNs), decrease node redundancy, and lengthen network lifetime, this method is based on the adaptive grey wolf arithmetic optimization algorithm The exploitation and exploration are first balanced using a cosine acceleration function. Then, to boost the method's performance, the grey wolf optimizer and arithmetic optimization algorithm are combined. In comparison to the conventional coverage optimization algorithm, our simulation results could improve arithmetic optimization algorithm has higher convergence efficiency and coverage rate, decreases network loss, and significantly lengthens the network life cycle." @default.
- W4328134621 created "2023-03-22" @default.
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- W4328134621 date "2023-03-21" @default.
- W4328134621 modified "2023-10-12" @default.
- W4328134621 title "Coverage optimization in wireless sensor networks with a modified arithmetic optimization algorithm" @default.
- W4328134621 doi "https://doi.org/10.1117/12.2671692" @default.
- W4328134621 hasPublicationYear "2023" @default.
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