Conditional diagnosability of the round matching composition networks

The conditional diagnosability of many well-known networks has been explored. In this paper, we analyze the conditional diagnosability of a family of networks, called the round matching composition networks, which are a class of networks composed of r (r≥4) components of the same order linked by r perfect matchings. Applying the result, we determine the conditional diagnosability of the k-ary n-cubes and the recursive circulant graphs under the PMC model and the MM model, respectively.