AP Association Algorithm Based on VR User Behavior Awareness
With the rapid development of virtual reality (VR) technology, this paper proposes an access point (AP) correlation method based on VR user behavior awareness to address the problem of how current AP correlation methods only focus on the performance improvements of ordinary users and ignore the impa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/21/3542 |
| _version_ | 1797468530004721664 |
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| author | Jinjia Ruan Yuchuan Wang Zhenming Fan Yongqiang Sun Taoning Yang |
| author_facet | Jinjia Ruan Yuchuan Wang Zhenming Fan Yongqiang Sun Taoning Yang |
| author_sort | Jinjia Ruan |
| collection | DOAJ |
| description | With the rapid development of virtual reality (VR) technology, this paper proposes an access point (AP) correlation method based on VR user behavior awareness to address the problem of how current AP correlation methods only focus on the performance improvements of ordinary users and ignore the impact of VR user behavior on service quality. This paper analyzes the AP association method under the coverage scenario of a multi-access point (multi-AP) scenario environment and controls the performance improvement of VR user APs or APs under the access controller (AC) by association. Firstly, the VR network application scenario and system model were constructed, and secondly, the user behavior was sensed by analyzing the viewing habits of users. Then, the VR user association problem based on VR user behavior perception was transformed into a “many-to-many” matching problem between VR user devices and APs, and the generalized multidimensional multiple choice knapsack (GMMKP) model was established to solve the problem using the backpack problem theory; the suboptimal solution algorithm was selected to obtain the best VR user AP association strategy. The experimental results show by simulation that the proposed algorithm in this paper performed better in terms of the AP load balancing and average network download latency compared to the comparison algorithms. |
| first_indexed | 2024-03-09T19:08:42Z |
| format | Article |
| id | doaj.art-bc5b1a490dac4741b2fae831efd3c889 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T19:08:42Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-bc5b1a490dac4741b2fae831efd3c8892023-11-24T04:25:35ZengMDPI AGElectronics2079-92922022-10-011121354210.3390/electronics11213542AP Association Algorithm Based on VR User Behavior AwarenessJinjia Ruan0Yuchuan Wang1Zhenming Fan2Yongqiang Sun3Taoning Yang4China Waterborne Transport Research Institute, Beijing 100088, ChinaChina Waterborne Transport Research Institute, Beijing 100088, ChinaChina Waterborne Transport Research Institute, Beijing 100088, ChinaChina Waterborne Transport Research Institute, Beijing 100088, ChinaChina Waterborne Transport Research Institute, Beijing 100088, ChinaWith the rapid development of virtual reality (VR) technology, this paper proposes an access point (AP) correlation method based on VR user behavior awareness to address the problem of how current AP correlation methods only focus on the performance improvements of ordinary users and ignore the impact of VR user behavior on service quality. This paper analyzes the AP association method under the coverage scenario of a multi-access point (multi-AP) scenario environment and controls the performance improvement of VR user APs or APs under the access controller (AC) by association. Firstly, the VR network application scenario and system model were constructed, and secondly, the user behavior was sensed by analyzing the viewing habits of users. Then, the VR user association problem based on VR user behavior perception was transformed into a “many-to-many” matching problem between VR user devices and APs, and the generalized multidimensional multiple choice knapsack (GMMKP) model was established to solve the problem using the backpack problem theory; the suboptimal solution algorithm was selected to obtain the best VR user AP association strategy. The experimental results show by simulation that the proposed algorithm in this paper performed better in terms of the AP load balancing and average network download latency compared to the comparison algorithms.https://www.mdpi.com/2079-9292/11/21/3542VRAP associationbehavior awarenessedge networks |
| spellingShingle | Jinjia Ruan Yuchuan Wang Zhenming Fan Yongqiang Sun Taoning Yang AP Association Algorithm Based on VR User Behavior Awareness Electronics VR AP association behavior awareness edge networks |
| title | AP Association Algorithm Based on VR User Behavior Awareness |
| title_full | AP Association Algorithm Based on VR User Behavior Awareness |
| title_fullStr | AP Association Algorithm Based on VR User Behavior Awareness |
| title_full_unstemmed | AP Association Algorithm Based on VR User Behavior Awareness |
| title_short | AP Association Algorithm Based on VR User Behavior Awareness |
| title_sort | ap association algorithm based on vr user behavior awareness |
| topic | VR AP association behavior awareness edge networks |
| url | https://www.mdpi.com/2079-9292/11/21/3542 |
| work_keys_str_mv | AT jinjiaruan apassociationalgorithmbasedonvruserbehaviorawareness AT yuchuanwang apassociationalgorithmbasedonvruserbehaviorawareness AT zhenmingfan apassociationalgorithmbasedonvruserbehaviorawareness AT yongqiangsun apassociationalgorithmbasedonvruserbehaviorawareness AT taoningyang apassociationalgorithmbasedonvruserbehaviorawareness |