  The interconnected smart devices and industrial internet of things devices
require low-latency communication to fulfill control objectives despite limited
resources. In essence, such devices have a time-critical nature but also
require a highly accurate data input based on its significance. In this paper,
we investigate various coordinated and distributed semantic scheduling schemes
with a data significance perspective. In particular, novel algorithms are
proposed to analyze the benefit of such schemes for the significance in terms
of estimation accuracy. Then, we derive the bounds of the achievable estimation
accuracy. Our numerical results showcase the superiority of semantic scheduling
policies that adopt an integrated control and communication strategy. In
essence, such policies can reduce the weighted sum of mean squared errors
compared to traditional policies.
