  We model a dense wireless local area network where the access points (APs)
employ carrier sense multiple access (CSMA)-type medium access control
protocol. In our model, the spatial locations of the set of active APs are
modeled using the random sequential adsorption (RSA) process, which is more
accurate in terms of the density of active APs compared to the Mat\'ern
hard-core point process of type-II (MHPP-II) commonly used for modeling CSMA
networks. Leveraging the theory of the RSA process from the statistical physics
literature, we provide an approximate but accurate analytical result for the
medium access probability of the typical AP in the network. Further, we present
a numerical approach to determine the pair correlation function
$(\mathtt{PCF})$, which is useful for the accurate estimation of the
interference statistics. Using the $\mathtt{PCF}$ result, we derive the
signal-to-interference-plus-noise ratio coverage probability of the typical
link in the network. We validate the accuracy of the theoretical results
through extensive Monte Carlo simulations.
