  A thorough understanding of the temporal dynamics of interference in wireless
networks is crucial for the design of communication protocols, scheduling, and
interference management. This paper applies stochastic geometry to investigate
interference dynamics for the first time in a network with nodes that use
carrier sense multiple access. This type of networks is approximated by a
Mat\'ern hard-core point process of type II with Nakagami fading. We derive and
analyze expressions for the variance, covariance, and correlation of the
interference power at a given point in space. Results show that even though the
commonly used Poisson approximation to carrier sense multiple access may have
the same average interference than the Mat\'ern model, the three interference
dynamics measurements investigated behave significantly different.
