  Novel low-power wireless technologies and IoT applications open the door to
the Industrial Internet of Things (IIoT). In this new paradigm, Wireless Sensor
Networks (WSNs) must fulfil, despite energy and transmission power limitations,
the challenging communication requirements of advanced manufacturing processes
and technologies. In industrial networks, this is possible thanks to the
availability of network infrastructure and the presence of a network
coordinator that efficiently allocates the available radio resources. In this
work, we consider a WSN that simultaneously transmits measurements of Networked
Control Systems' (NCSs) dynamics to remote state estimators over a shared
packet-erasure channel. We develop a minimum transmission power control (TPC)
policy for the coordination of the wireless medium by formulating an infinite
horizon Markov decision process (MDP) optimization problem. We compute the
policy using an approximate value iteration algorithm and provide an extensive
evaluation of its parameters in different interference scenarios and NCSs
dynamics. The evaluation results present a comprehensive characterization of
the algorithm's performance, proving that it can flexibly adapt to arbitrary
use cases.
