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Yi bin Hou & Jin Wang

Yi bin Hou & Jin Wang

Beijing University of Technology, China

Title: Packet loss rate mapped to the quality of experience in the IOT network

Biography

Biography: Yi bin Hou & Jin Wang

Abstract

The Internet of things, including Internet technology, including wired and wireless networks.In this paper, we investigate on the QOE and packet loss rate of the network because QOE is important in the network and packet loss rate is the key point in many papers.In order to study the influence of packet loss on the users’ quality of experience QoE and establish the Mapping model of the two when the video transmit in the network, building a NS2 + MyEvalvid simulation platform, by the method of modifying QoS parameters to simulate different degrees of packet loss, focus on the influence of packet loss on QoE and establish the mapping model between them. Experimental results show that, packet loss has a significant influence on Quality of experience. Packet loss rate and the Quality of experience presents a nonlinear relationship, and use Matlab to establish the mapping model, this model’s accuracy is high, easy to operate, can real-time detect packet loss has influence on the user’s quality of experience (QoE). The contribution of this paper is first through research obtained packet loss has a significant effect on the video. Second, based on receiving the packet loss has a significant effect on QoE study and establish the mapping model of packet loss rate and the user’s quality of experience QoE. Next step is to set up considering network packet loss of video quality evaluation model, on the basis of considering the different packet loss rate and different content complexity has effects on QoE which conclude from packet loss has effects on QoE’s part, combine consider other factors such as different packet loss models to establish a video quality evaluation model consider the network packet loss, more accurate prediction of QoE is the future work. E-commerce, such as the Jingdong and Taobao's free trial center, has become a hot topic.

Fig. 1 MyEvalvid system structure

Fig. 23  Src13 fitting curve (PSNR)