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In this paper, we analyze the performance of wireless sensor networks using stochastic geometry. In practical networks, since sensor nodes in the networks are not independently placed, there exists a correlation among the locations of the nodes. In order to capture the effect of the correlation, we model the spatial distribution of nodes as α-Ginibre point processes (GPPs) which reflect the repulsion...
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