Under CopyrightPetreska, NedaNedaPetreskaAl-Zubaidy, HusseinHusseinAl-ZubaidyGross, JamesJamesGross2022-03-128.11.20142014https://publica.fraunhofer.de/handle/publica/38552910.24406/publica-r-38552910.1109/ITC.2014.6932953Energy efficiency is a very important aspect of modern communication systems. In particular, industrial applications, that deploy wireless machine-to-machine communication and process automation, demand energy-efficient communication in order to prolong battery lifetime and reduce inter-node interference, while maintaining a predefined probabilistic delay bound. In this work, we propose an algorithm that minimizes the transmit power in a WirelessHART network under statistical delay constraints. We achieve this by utilizing a recently developed network calculus approach for wireless networks performance analysis. The evaluation of the algorithm shows that it reaches quasi-minimal power settings within a few iterations.enpower minimizationWirelessHartindustrial networksstochastic network calculusdelaylokales FunknetzLFNLocal Wireless NetworksWireless Automation NetworksICWcalculusfadingquality of servicesignal to noise ratiowireless communicationQoSwireless sensor networkconference paper