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- W2061163456 abstract "To bridge the gap between limited energy supplies of the sensor nodes and the system lifetime, duty-cycle Wireless Sensor Networks (WSNs) with data aggregation are studied in this paper. We proposed a load-balanced and latency-efficient data aggregation scheduling for duty-cycled WSNs. A shortest path tree (SPT) is used as the routing structure for data aggregation scheduling. In SPT, parent-children assignments are well-designed to assign nodes from level h+1 to the parents at level h such that every parent has a balanced load, while reducing the sleep latency which is a period of time for a sender to wait for its parent to be active. Finally, through the simulation and comparisons, we prove the effectiveness of our approach." @default.
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- W2061163456 date "2012-12-01" @default.
- W2061163456 modified "2023-09-25" @default.
- W2061163456 title "A load-balanced data aggregation scheduling for duty-cycled wireless sensor networks" @default.
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- W2061163456 doi "https://doi.org/10.1109/cloudcom.2012.6427533" @default.
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