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Yuan, J., Liu, A., Qin, X., Zhang, J. and Li, J. (2016) g-Good-neighbor Conditional Diagnosability Measures for 3-Ary n-Cube Networks. Theoretical Computer Science, 622, 144-162.
http://doi.org/10.1016/j.tcs.2016.01.046

has been cited by the following article:

• TITLE: The 2-Extra Diagnosability of Alternating Group Graphs under the PMC Model and MM* Model

  AUTHORS: Shiying Wang, Yunxia Ren

  KEYWORDS: Interconnection Network, Diagnosability, Alternating Group Graph

  JOURNAL NAME: American Journal of Computational Mathematics, Vol.8 No.1, March 12, 2018

  ABSTRACT: Diagnosability of a multiprocessor system is one important study topic. In 2015, Zhang et al. proposed a new measure for fault diagnosis of the system, namely, g-extra diagnosability, which restrains that every fault-free component has at least (g + 1) fault-free nodes. As a favorable topology structure of interconnection networks, the n-dimensional alternating group graph AGn has many good properties. In this paper, we give that the 2-extra diagnosability of AGn is 6n - 17 for n≥ 5 under the PMC model and MM* model.