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The noticeably increased deployment of wireless networks for battery-limitedindustrial applications in recent years highlights the need for tractableperformance analysis methodologies as well as efficient QoS-aware transmitpower management schemes. In this work, we seek to combine several importantaspects of such networks, i.e., multi-hop connectivity, channel heterogeneityand the queuing effect, in order to address these needs. We designdelay-bound-based algorithms for transmit power minimization and networklifetime maximization of multi-hop heterogeneous wireless networks using ourpreviously developed stochastic network calculus approach for performanceanalysis of a cascade of buffered wireless fading channels. Our analysis showsan overall transmit power saving of up to 95% compared to a fixed powerallocation scheme when using a service model in terms of the Shannon capacitylimit. For a more realistic set-up, we evaluate the performance of thesuggested algorithm in a WirelessHART network, which is a widely usedcommunication standard for process automation and other industrialapplications. We find that link heterogeneity can significantly reduce networklifetime when no efficient power management is applied. Moreover, we show,using extensive simulation study, that the proposed bound-based powerallocation performs reasonably well compared to the real optimum, especially inthe case of WirelessHART networks.

Bound-Based Power Optimization for Multi-Hop Heterogeneous Wireless Industrial Networks Under Statistical Delay Constraints