University of Twente Student Theses


Modeling and performance evaluation of wirelesshart

Wu, Xian (2012) Modeling and performance evaluation of wirelesshart.

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Abstract:In traditional process industries, wired systems are deployed for supervisory and control applications. In recent years, a new tendency to replace the wired system by wireless networks emerged. This migration towards wireless technology can provide the industrial control system with notable advantages on flexibility, installation cost and maintenance. WirelessHART, as the first international standard aiming for process supervisory and control, becomes the main stream of this migration and received notable academic attention. However, wireless communication inevitably introduces time delays and message losses, which may degrade the system reliability and efficiency. Since there is little insight into the performance of WirelessHART, this thesis makes an attempt to model and evaluate this standard. In this thesis, we model the WirelessHART network using Discrete-Time Markov Chains. The hierarchical model consists of two tiers, i.e. the link layer and the path layer. We derive several measures of interest from the DTMC model to evaluate the network performance in a typical environment from different perspectives. An analysis tool with graphical interface was developed to facilitate such modeling and analysis in an automated manner. The evaluation shows that although the performance of WirelessHART network is influenced by several factors, it is capable to deliver reliable and satisfactory service under typical industrial environments, even when co-existing with other wireless networks such as IEEE 802.11. As a control system, the stability of control loops is a critical issue. The evaluation provides relevant measures like reachability and delay so that it becomes feasible to judge the stability of a control loop. Moreover, WirelessHART is justified to be robust against transient link failures by the evaluation results. In addition, the proposed model can be used to predict performance and to provide routing suggestion. The modeling approach and evaluation results can be used as reference and suggestion in industrial settings.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Internet Science and Technology MSc (60032)
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