The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks
In this article, we investigate the problem of personal message acquisition optimization for intelligent apparatus in the space information network. The quality of experience for persons during achieving the synthetical message rapidly and exactly through the apparatus is significant to the apparatu...
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Format: | Article |
Language: | English |
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Wiley
2018-05-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1177/1550147718772537 |
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author | Changhua Yao Lei Zhu |
author_facet | Changhua Yao Lei Zhu |
author_sort | Changhua Yao |
collection | DOAJ |
description | In this article, we investigate the problem of personal message acquisition optimization for intelligent apparatus in the space information network. The quality of experience for persons during achieving the synthetical message rapidly and exactly through the apparatus is significant to the apparatus layout. In this article, we presented a quality of experience–oriented synthetical statistical analysis optimization approach for the personal message acquisition for intelligent apparatus. The main contribution is that the mathematical analysis is combined with the statistical data for the assessment of the personal message acquisition to overcome some drawbacks in the existing works. Experiments verified that the presented approach could make the personal message acquisition with much higher quality of experience. |
format | Article |
id | doaj-art-2ecc07802cb64a27bbb6cafa824447b5 |
institution | Kabale University |
issn | 1550-1477 |
language | English |
publishDate | 2018-05-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj-art-2ecc07802cb64a27bbb6cafa824447b52025-02-03T06:43:17ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-05-011410.1177/1550147718772537The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networksChanghua YaoLei ZhuIn this article, we investigate the problem of personal message acquisition optimization for intelligent apparatus in the space information network. The quality of experience for persons during achieving the synthetical message rapidly and exactly through the apparatus is significant to the apparatus layout. In this article, we presented a quality of experience–oriented synthetical statistical analysis optimization approach for the personal message acquisition for intelligent apparatus. The main contribution is that the mathematical analysis is combined with the statistical data for the assessment of the personal message acquisition to overcome some drawbacks in the existing works. Experiments verified that the presented approach could make the personal message acquisition with much higher quality of experience.https://doi.org/10.1177/1550147718772537 |
spellingShingle | Changhua Yao Lei Zhu The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks International Journal of Distributed Sensor Networks |
title | The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks |
title_full | The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks |
title_fullStr | The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks |
title_full_unstemmed | The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks |
title_short | The quality of experience–oriented personal message acquisition optimization for intelligent apparatus in space information networks |
title_sort | quality of experience oriented personal message acquisition optimization for intelligent apparatus in space information networks |
url | https://doi.org/10.1177/1550147718772537 |
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