Evaluating quality of experience and real-time performance of Industrial Internet of Things
Zhohov, Roman (2018)
School of Engineering Science, Tietotekniikka
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The Industrial Internet of Things (IIoT) is one of the key technologies of Industry 4.0 that will be an integral part of future smart and sustainable production. The current constituted models for estimating Quality of Experience (QoE) are mainly targeting the multimedia systems. Present models for evaluating QoE, specifically leveraged by the expensive subjective tests, are not applicable for IIoT applications. This work triggers the discussion on defining the QoE domain for IIoT services and applications. Industry-specific KPIs are proposed to assure QoE by linking business and technology domains. Tele-remote mining machines are considered as a case study for developing the QoE model by taking into account key challenges in QoE domain. As a result, QoE layered model is proposed, which as an outcome predicts the QoE of IIoT services and applications in a form of pre-defined Industrial KPIs. Moreover, software tool and analytical model is proposed to be used as an evaluation method for certain traffic types in the developed model.