University of Twente Student Theses


Sensitivity analysis of predicting wireless c hannels within an indoor factory floor

Middelkoop, D.E.V. (2020) Sensitivity analysis of predicting wireless c hannels within an indoor factory floor.

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Abstract:Industrial floors are becoming more reliant of wireless networks. These wireless networks must perform with strict requirements under harsh environments, such as heavy interference from machinery of high mobility in case of moving robots. This results in a high variation in the SNR of the wireless channels involved. Traditional means of determining the SNR rely on measuring periodically, thus this information becomes old in between measurements. Research into predicting the SNR of wireless channels has already been performed for regular wireless networks, but not for industrial applications. In this research the possible gains for prediction of throughput and reliability within an industrial wireless network have been investigated. This is done using a simulation of an industrial wireless network under realistic factory conditions. From the measurements of the throughput and packet loss of prediction methods and the state of the art, it was found that the theoretical throughput gain in some scenarios lies above 100\% and even for a variance of around 5 Decibels in prediction level, a positive gain in both throughput and reliability was measured.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
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