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Sparse data aggregation in sensor networks
2007
Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively rare events. In such situations, each node that should participate in the aggregation knows this fact based on its own sensor readings, but there is no global knowledge in the network of where all these interesting nodes are located. Instead of blindly querying all nodes in the network, we show how the interesting
doi:10.1145/1236360.1236414
dblp:conf/ipsn/GaoGMH07
fatcat:qarjyygme5erfm7o6h7btl6jcu