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Abstract-Energy 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.

In this paper we present a method for improving the precision of an RSSI-based energy-constrained localization system employed in an IEEE 802.15.4 sensor network. The goal application is localization of people in dynamic indoor environments. We introduce an approach which divides the anchor nodes into groups and assigns a path loss exponent to each group. The results from the conveyed tests in our building show a location error smaller than 3m, despite the low energy constraints. Moreover, we provide a hardware platform independent system suitable for both standard and proprietary solutions

In this paper we provide a performance analysis framework for wireless industrial networks by deriving a service curve and a bound on the delay violation probability. For this purpose we use the (min; ×) stochastic network calculus as well as a recently presented recursive formula for an end-To-end delay bound of wireless heterogeneous networks. The derived results are mapped to WirelessHART networks used in process automation and validated via simulations. In addition to WirelessHART, our results can be applied to any wireless network whose physical layer conforms the IEEE 802.15.4 standard, while itsMAC protocol incorporates channel hopping and TDMA, like e.g. ISA100.11a or TSCHbased networks. The provided delay analysis is especially useful during the network design phase, offering further research potential towards optimal routing and power management in QoS-constrained wireless industrial networks.

QC 20160923

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.