UAV deployment and caching scheme based on user preference prediction
In order to design an efficient edge caching policy considering spatial heterogeneity and temporal fluctuations of users’ content requests,a proactive caching scheme was proposed with UAV’s deployment location design based on user preference prediction.Firstly,each user’s preference characteristics...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020104/ |
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| _version_ | 1841539333672140800 |
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| author | Jiazhi REN Hui TIAN Shaoshuai FAN Yuanzhuo LIN Gaofeng NIE Jilong LI |
| author_facet | Jiazhi REN Hui TIAN Shaoshuai FAN Yuanzhuo LIN Gaofeng NIE Jilong LI |
| author_sort | Jiazhi REN |
| collection | DOAJ |
| description | In order to design an efficient edge caching policy considering spatial heterogeneity and temporal fluctuations of users’ content requests,a proactive caching scheme was proposed with UAV’s deployment location design based on user preference prediction.Firstly,each user’s preference characteristics were predicted based on file similarity and user similarity,and the request time and user location were also predicted when a content request occurs.Thereafter,on the basis of the predicted geographical location,request time and user preference,each UAV’s deployment location and the corresponding content placement were determined by virtue of clustering method based on SOM and AGNES.Simulation results show that the proposed scheme outperforms other three comparison schemes in terms of hit ratio and transmission delay.Furthermore,the results also reveal that content preference is correlated with different user features by different weights.Accordingly,different impact weights should be matched with different user features. |
| format | Article |
| id | doaj-art-2a02c8b9969e46078e7bac4c7c7029bb |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-2a02c8b9969e46078e7bac4c7c7029bb2025-01-14T07:19:03ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-06-014111359734703UAV deployment and caching scheme based on user preference predictionJiazhi RENHui TIANShaoshuai FANYuanzhuo LINGaofeng NIEJilong LIIn order to design an efficient edge caching policy considering spatial heterogeneity and temporal fluctuations of users’ content requests,a proactive caching scheme was proposed with UAV’s deployment location design based on user preference prediction.Firstly,each user’s preference characteristics were predicted based on file similarity and user similarity,and the request time and user location were also predicted when a content request occurs.Thereafter,on the basis of the predicted geographical location,request time and user preference,each UAV’s deployment location and the corresponding content placement were determined by virtue of clustering method based on SOM and AGNES.Simulation results show that the proposed scheme outperforms other three comparison schemes in terms of hit ratio and transmission delay.Furthermore,the results also reveal that content preference is correlated with different user features by different weights.Accordingly,different impact weights should be matched with different user features.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020104/edge cachingunmanned aerial vehicleuser preference predictionsimilarity |
| spellingShingle | Jiazhi REN Hui TIAN Shaoshuai FAN Yuanzhuo LIN Gaofeng NIE Jilong LI UAV deployment and caching scheme based on user preference prediction Tongxin xuebao edge caching unmanned aerial vehicle user preference prediction similarity |
| title | UAV deployment and caching scheme based on user preference prediction |
| title_full | UAV deployment and caching scheme based on user preference prediction |
| title_fullStr | UAV deployment and caching scheme based on user preference prediction |
| title_full_unstemmed | UAV deployment and caching scheme based on user preference prediction |
| title_short | UAV deployment and caching scheme based on user preference prediction |
| title_sort | uav deployment and caching scheme based on user preference prediction |
| topic | edge caching unmanned aerial vehicle user preference prediction similarity |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020104/ |
| work_keys_str_mv | AT jiazhiren uavdeploymentandcachingschemebasedonuserpreferenceprediction AT huitian uavdeploymentandcachingschemebasedonuserpreferenceprediction AT shaoshuaifan uavdeploymentandcachingschemebasedonuserpreferenceprediction AT yuanzhuolin uavdeploymentandcachingschemebasedonuserpreferenceprediction AT gaofengnie uavdeploymentandcachingschemebasedonuserpreferenceprediction AT jilongli uavdeploymentandcachingschemebasedonuserpreferenceprediction |