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• W2093721935 abstract "In this paper, we propose a distributed approach to manage wireless sensor node tracking in a factory environment. The approach uses a computationally efficient distributed k-means algorithm that divides the sensing environment into a set of Voronoi cells. We take advantage of the geometrical structure of the solution, using the resulting Voronoi cells to support inter-cluster trade-off decisions. To demonstrate the wireless sensor network's adaptability to changing shop floor conditions, we report on a set of experiments performed in JADE (Java Agent Development Framework)." @default.
• W2093721935 created "2016-06-24" @default.
• W2093721935 creator A5053573476 @default.
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• W2093721935 date "2013-10-01" @default.
• W2093721935 modified "2023-09-25" @default.
• W2093721935 title "Dynamic Cluster Formation and Management in a Factory Wireless Sensor Network" @default.
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• W2093721935 doi "https://doi.org/10.1109/smc.2013.137" @default.
• W2093721935 hasPublicationYear "2013" @default.
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