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- W2078267164 abstract "Energy consumption is one of the most crucial issues in wireless sensor networks since sensor nodes are commonly battery-driven. Recently, several aggregation methods have been proposed to save energy by reducing the number of transmissions from source to the sink. They assumed a single sink for aggregation of data. In this paper, we propose an aggregation scheme for wireless sensor networks with multiple sinks. In our scheme, each node caches the gradient information collected from its local neighbors to determine the aggregation point for merging data to be delivered to multiple sinks. The experimental results show that our scheme can reduce the number of transmissions and thus save the energy more than the greedy incremental tree scheme and the shortest path scheme." @default.
- W2078267164 created "2016-06-24" @default.
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- W2078267164 date "2006-01-01" @default.
- W2078267164 modified "2023-09-24" @default.
- W2078267164 title "In-network processing for wireless sensor networks with multiple sinks and sources" @default.
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- W2078267164 doi "https://doi.org/10.1145/1292331.1292391" @default.
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