Non-adaptive group testing on graphs with connectivity

Journal of Combinatorial Optimization volume 38, pages278–291(2019)Cite this article

Abstract

Group testing refers to any procedure which groups arbitrary subsets of items into pools, and then tests each pool to identify the “sparse” defective items. This paper focuses on a probing scheme in non-adaptive group testing with graph-based constraints. Assume that all nodes function properly but there is at most one failed edge in an undirected graph. By sending probing signals in diagnosis process, we try to know if there is any edge failed, and if there is, to identify the failed edge. Each probing set is allowed only if the induced subgraph by the set is connected. The objective of this model is to identify the failed edge by the fewest possible probes. This paper gives a deterministic optimal probing scheme for complete graphs, and an essentially optimal probing scheme for torus grid graphs.

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Acknowledgements

The authors express their gratitude to the two anonymous reviewers for their detailed and constructive comments which are very helpful to the improvement of the presentation of this paper. This research is supported in part by the JSPS Grant-in-Aid for Scientific Research (B) under Grant Nos. 18H01133 and 16H03118.

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Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, 305-8573, Japan

    Song Luo, Yuji Matsuura, Ying Miao & Maiko Shigeno

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  1. Song Luo
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  2. Yuji Matsuura
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  3. Ying Miao
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  4. Maiko Shigeno
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Correspondence to Maiko Shigeno.

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Luo, S., Matsuura, Y., Miao, Y. et al. Non-adaptive group testing on graphs with connectivity. J Comb Optim 38, 278–291 (2019). https://doi.org/10.1007/s10878-019-00379-0

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Keywords

  • Group testing
  • Non-adaptive scheme
  • Complete graph
  • Torus grid graph