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- W2009020737 abstract "Aggregation counting is any procedure designed to solve the following problem: a number n of agents produces a fixed length binary message, and a central station produces an estimate of n from the bit-by-bit OR of the messages, which is therefore duplicate-insensitive. Such procedures are applicable to a situation where each of n independent sensors broadcasts the message to be used to estimate the count. A mathematically brilliant solution to this problem, due to Flajolet and Martin (1985) [1] , is unfortunately affected by substantial bias and error. In this note we outline an alternative approach, which uses the Flajolet–Martin technique as a preparatory step and substantially reduces both error and bias. Specifically, the standard deviation of the count estimate drops from ∼ 110 % to ∼ 20 % of the estimated value." @default.
- W2009020737 created "2016-06-24" @default.
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- W2009020737 date "2012-01-01" @default.
- W2009020737 modified "2023-09-27" @default.
- W2009020737 title "Accurate and precise aggregation counting" @default.
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- W2009020737 doi "https://doi.org/10.1016/j.jcss.2011.02.002" @default.
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