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Improving Quality of Experience in multimedia Internet of Things leveraging machine learning on big data
بهبود کیفیت تجربه در اینترنت اشیا چندرسانه ای یادگیری ماشین بر روی داده های بزرگ-2018 With rapid evolution of the Internet of Things (IoT) applications on multimedia, there is an urgent need to
enhance the satisfaction level of Multimedia IoT (MIoT) network users. An important and unsolved prob
lem is automatic optimization of Quality of Experience (QoE) through collecting/managing/processing
various data from MIoT network. In this paper, we propose an MIoT QoE optimization mechanism
leveraging data fusion technology, called QoE optimization via Data Fusion (QoEDF). QoEDF consists of
two steps. Firstly, a multimodal data fusion approach is proposed to build a QoE mapping between the
uncontrollable user data with the controllable network-related system data. Secondly, an automatic QoE
optimization model is built taking fused results, which is different from the traditional way. QoEDF is
able to adjust network-related system data automatically so as to achieve optimized user satisfaction.
Simulation results show that QoEDF will lead to significant improvements in QoE level as well as be
adaptable to dynamic network changes.
Keywords: Data fusion ، Multimedia Internet of Things ، Big data ، Quality of Experience ، Machine learning ، Neural network |
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