  In this chapter, we study the consistency of the value of
information$\unicode{x2014}$a semantic metric that claims to determine the
right piece of information in networked control systems
tasks$\unicode{x2014}$in a lossy and delayed communication regime. Our analysis
begins with a focus on state estimation, and subsequently extends to feedback
control. To that end, we make a causal tradeoff between the packet rate and the
mean square error. Associated with this tradeoff, we demonstrate the existence
of an optimal policy profile, comprising a symmetric threshold scheduling
policy based on the value of information for the encoder and a non-Gaussian
linear estimation policy for the decoder. Our structural results assert that
the scheduling policy is expressible in terms of $3d-1$ variables related to
the source and the channel, where $d$ is the time delay, and that the
estimation policy incorporates no residual related to signaling. We then
construct an optimal control policy by exploiting the separation principle.
