统计时延约束下多跳异构无线工业网络的边界功率优化
Bound-Based Power Optimization for Multi-Hop Heterogeneous Wireless Industrial Networks Under Statistical Delay Constraints
摘要：
近年来，针对电池有限的工业应用的无线网络部署的显著增加突出了对易于处理的性能分析方法以及高效的QoS感知发射功率管理方案的需求。在这项工作中，我们试图结合这种网络的几个重要方面，即，多跳连接性、信道异质性和排队效应，以解决这些需求。我们设计了基于延迟边界的算法，使用我们以前开发的随机网络演算方法的级联缓冲无线衰落信道的性能分析的多跳异构无线网络的发射功率最小化和网络寿命最大化。我们的分析表明，一个固定的功率分配方案相比，使用服务模型的香农容量限制的整体传输功率节省高达95%。对于一个更现实的设置，我们评估的无线HART网络，这是一个广泛使用的过程自动化和其他工业应用的通信标准的建议算法的性能。我们发现，链路的异构性可以显着减少网络寿命时，没有有效的电源管理。此外，我们表明，使用广泛的仿真研究，建议的基于边界的功率分配执行合理的最佳相比，真正的，特别是在WirelessHART网络的情况下。
英文摘要：
The noticeably increased deployment of wireless networks for battery-limited industrial applications in recent years highlights the need for tractable performance analysis methodologies as well as efficient QoS-aware transmit power management schemes. In this work, we seek to combine several important aspects of such networks, i.e., multi-hop connectivity, channel heterogeneity and the queuing effect, in order to address these needs. We design delay-bound-based algorithms for transmit power minimization and network lifetime maximization of multi-hop heterogeneous wireless networks using our previously developed stochastic network calculus approach for performance analysis of a cascade of buffered wireless fading channels. Our analysis shows an overall transmit power saving of up to 95% compared to a fixed power allocation scheme when using a service model in terms of the Shannon capacity limit. For a more realistic set-up, we evaluate the performance of the suggested algorithm in a WirelessHART network, which is a widely used communication standard for process automation and other industrial applications. We find that link heterogeneity can significantly reduce network lifetime when no efficient power management is applied. Moreover, we show, using extensive simulation study, that the proposed bound-based power allocation performs reasonably well compared to the real optimum, especially in the case of WirelessHART networks.
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