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• W2362742811 abstract "Like wireless sensor networks, lifetime of sensors is the main constraint for performance of underwater acoustic sensor networks (UASNs). Most previous works on UASNs did not consider dynamics of networks, i.e., as time goes by, in practice, part of sensors may be malfunctioned, deplete their battery power, or get lost due to violent underwater environment changes. Therefore, this paper considers a UASN in ocean and proposes a sleep scheduling scheme in which sensor nodes and autonomous underwater vehicles in this network can dynamically choose to sleep or work to adapt to the environmental change. The concerned problem is to dynamically determine a sufficient number of active nodes in the UASN at different times, such that the targets required to be detected are covered. A special static scenario of the problem has been shown to be NP-complete. Hence, this paper proposes an improved multi-population harmony search algorithm to solve this dynamic problem. By simulation, the proposed algorithm shows high performance in terms of extending network lifetime, robustness, and computing time." @default.
• W2362742811 created "2016-06-24" @default.
• W2362742811 creator A5008410960 @default.
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• W2362742811 date "2016-06-01" @default.
• W2362742811 modified "2023-10-12" @default.
• W2362742811 title "Extending the Lifetime of Dynamic Underwater Acoustic Sensor Networks Using Multi-Population Harmony Search Algorithm" @default.
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• W2362742811 doi "https://doi.org/10.1109/jsen.2015.2440416" @default.
• W2362742811 hasPublicationYear "2016" @default.
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