Investigation on the QOE and Packet Loss Rate of the IOT Network

Yibin Hou; Jin Wang

doi:doi:10.11648/j.ajdmkd.20170201.13

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Investigation on the QOE and Packet Loss Rate of the IOT Network

Yibin Hou, Jin Wang

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 1)

Received: 22 December 2016 Accepted: 6 January 2017 Published: 4 February 2017

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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). High thinking turn thinking and intelligence to do system and intelligent housing system. The application of intelligent transportation and intelligent building and intelligent engineering system and Intelligent farm and JSP sponge in the Internet of things is the future direction of development.

Published in	American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 1)
DOI	10.11648/j.ajdmkd.20170201.13
Page(s)	15-30
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Packet Loss Rate, Influence, Quality of Experience, Mapping Model

References

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APA Style

Yibin Hou, Jin Wang. (2017). Investigation on the QOE and Packet Loss Rate of the IOT Network. American Journal of Data Mining and Knowledge Discovery, 2(1), 15-30. https://doi.org/10.11648/j.ajdmkd.20170201.13

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ACS Style

Yibin Hou; Jin Wang. Investigation on the QOE and Packet Loss Rate of the IOT Network. Am. J. Data Min. Knowl. Discov. 2017, 2(1), 15-30. doi: 10.11648/j.ajdmkd.20170201.13

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AMA Style

Yibin Hou, Jin Wang. Investigation on the QOE and Packet Loss Rate of the IOT Network. Am J Data Min Knowl Discov. 2017;2(1):15-30. doi: 10.11648/j.ajdmkd.20170201.13

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@article{10.11648/j.ajdmkd.20170201.13,
  author = {Yibin Hou and Jin Wang},
  title = {Investigation on the QOE and Packet Loss Rate of the IOT Network},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {1},
  pages = {15-30},
  doi = {10.11648/j.ajdmkd.20170201.13},
  url = {https://doi.org/10.11648/j.ajdmkd.20170201.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170201.13},
  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). High thinking turn thinking and intelligence to do system and intelligent housing system. The application of intelligent transportation and intelligent building and intelligent engineering system and Intelligent farm and JSP sponge in the Internet of things is the future direction of development.},
 year = {2017}
}

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TY  - JOUR
T1  - Investigation on the QOE and Packet Loss Rate of the IOT Network
AU  - Yibin Hou
AU  - Jin Wang
Y1  - 2017/02/04
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170201.13
DO  - 10.11648/j.ajdmkd.20170201.13
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 15
EP  - 30
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170201.13
AB  - 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). High thinking turn thinking and intelligence to do system and intelligent housing system. The application of intelligent transportation and intelligent building and intelligent engineering system and Intelligent farm and JSP sponge in the Internet of things is the future direction of development.
VL  - 2
IS  - 1
ER  -

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Author Information

Yibin Hou

School of Software Engineering, Department of Information, Beijing University of Technology, Beijing, China
Jin Wang

School of Software Engineering, Department of Information, Beijing University of Technology, Beijing, China

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Plain Text BibTeX RIS

APA Style

Yibin Hou, Jin Wang. (2017). Investigation on the QOE and Packet Loss Rate of the IOT Network. American Journal of Data Mining and Knowledge Discovery, 2(1), 15-30. https://doi.org/10.11648/j.ajdmkd.20170201.13

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ACS Style

Yibin Hou; Jin Wang. Investigation on the QOE and Packet Loss Rate of the IOT Network. Am. J. Data Min. Knowl. Discov. 2017, 2(1), 15-30. doi: 10.11648/j.ajdmkd.20170201.13

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AMA Style

Yibin Hou, Jin Wang. Investigation on the QOE and Packet Loss Rate of the IOT Network. Am J Data Min Knowl Discov. 2017;2(1):15-30. doi: 10.11648/j.ajdmkd.20170201.13

Copy | Download

@article{10.11648/j.ajdmkd.20170201.13,
  author = {Yibin Hou and Jin Wang},
  title = {Investigation on the QOE and Packet Loss Rate of the IOT Network},
  journal = {American Journal of Data Mining and Knowledge Discovery},
  volume = {2},
  number = {1},
  pages = {15-30},
  doi = {10.11648/j.ajdmkd.20170201.13},
  url = {https://doi.org/10.11648/j.ajdmkd.20170201.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170201.13},
  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). High thinking turn thinking and intelligence to do system and intelligent housing system. The application of intelligent transportation and intelligent building and intelligent engineering system and Intelligent farm and JSP sponge in the Internet of things is the future direction of development.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Investigation on the QOE and Packet Loss Rate of the IOT Network
AU  - Yibin Hou
AU  - Jin Wang
Y1  - 2017/02/04
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170201.13
DO  - 10.11648/j.ajdmkd.20170201.13
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 15
EP  - 30
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170201.13
AB  - 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). High thinking turn thinking and intelligence to do system and intelligent housing system. The application of intelligent transportation and intelligent building and intelligent engineering system and Intelligent farm and JSP sponge in the Internet of things is the future direction of development.
VL  - 2
IS  - 1
ER  -

Copy | Download