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- W2109390503 abstract "Consider N objects moving on a graph G = (V,E). Each item executes a random walk on the graph. Suppose at most k of the N objects are defective, and S sensors are placed at unique locations on G. At each time, each sensor provides a binary decision for the collection of objects in its graph neighborhood. A sensor returns 0 if no defective objects are present in its neighborhood and 1 if at least one defective object is present. Our goal is to determine the scaling of the time required to identify the defectives as a function of the number of sensors, the range of the sensors, the number of objects, the number of defectives, and the properties of the graph." @default.
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- W2109390503 date "2010-09-01" @default.
- W2109390503 modified "2023-10-17" @default.
- W2109390503 title "Markov group testing" @default.
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- W2109390503 doi "https://doi.org/10.1109/allerton.2010.5706902" @default.
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