$k$ -Connectivity in Random $K$ -Out Graphs Intersecting Erdős-Rényi Graphs

We investigate <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-connectivity in secure wireless sensor networks under the random pairwise key predistribution scheme with unreliable links. When wireless communication links are modeled as independent on-off channels, this amounts to analyzing a <italic>random graph model</italic> formed by <italic>intersecting</italic> a random <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-out graph and an Erdős-Rényi graph. We present conditions on how to scale the parameters of this intersection model so that the resulting graph is <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-connected with probability approaching to one (resp. zero) as the number of nodes gets large. The resulting zero-one law is shown to improve and sharpen the previous result on the 1-connectivity of the same model. We also provide numerical results to support our analysis.

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