Spatio-temporal data analysis and accessibility method for IoV in an urban scene
In order to solve the problems of diversity spatio-temporal data and low connectivity efficiency in a single road side unit for Internet of vehicles (IoV) in an urban scene, a spatio-temporal data analysis and accessibility method was presented.First, a spatio-temporal data analysis method based on...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2021-06-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021110/ |
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author | Jiujun CHENG Guiyuan YUAN Jie CUI Aiguo ZHOU Bo LYU Guangyao LI |
author_facet | Jiujun CHENG Guiyuan YUAN Jie CUI Aiguo ZHOU Bo LYU Guangyao LI |
author_sort | Jiujun CHENG |
collection | DOAJ |
description | In order to solve the problems of diversity spatio-temporal data and low connectivity efficiency in a single road side unit for Internet of vehicles (IoV) in an urban scene, a spatio-temporal data analysis and accessibility method was presented.First, a spatio-temporal data analysis method based on de-noising and data filling was introduced, and a tensor factor aggregation-based neural network was constructed to predict connectivity intensity among vehicles.Then, a connectivity intensity prediction-based accessibility method was proposed.The simulation results demonstrate that the proposed connectivity intensity prediction method can accurately predict connectivity intensity among vehicles, and the proposed accessibility method can effectively reduce connectivity redundancy and loads of road side units. |
format | Article |
id | doaj-art-b3b109c0319841e5bdc177615ddc51a7 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2021-06-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-b3b109c0319841e5bdc177615ddc51a72025-01-14T07:22:05ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-06-0142526159741806Spatio-temporal data analysis and accessibility method for IoV in an urban sceneJiujun CHENGGuiyuan YUANJie CUIAiguo ZHOUBo LYUGuangyao LIIn order to solve the problems of diversity spatio-temporal data and low connectivity efficiency in a single road side unit for Internet of vehicles (IoV) in an urban scene, a spatio-temporal data analysis and accessibility method was presented.First, a spatio-temporal data analysis method based on de-noising and data filling was introduced, and a tensor factor aggregation-based neural network was constructed to predict connectivity intensity among vehicles.Then, a connectivity intensity prediction-based accessibility method was proposed.The simulation results demonstrate that the proposed connectivity intensity prediction method can accurately predict connectivity intensity among vehicles, and the proposed accessibility method can effectively reduce connectivity redundancy and loads of road side units.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021110/Internet of vehiclesspatio-temporal data analysisaccessibilityurban scene |
spellingShingle | Jiujun CHENG Guiyuan YUAN Jie CUI Aiguo ZHOU Bo LYU Guangyao LI Spatio-temporal data analysis and accessibility method for IoV in an urban scene Tongxin xuebao Internet of vehicles spatio-temporal data analysis accessibility urban scene |
title | Spatio-temporal data analysis and accessibility method for IoV in an urban scene |
title_full | Spatio-temporal data analysis and accessibility method for IoV in an urban scene |
title_fullStr | Spatio-temporal data analysis and accessibility method for IoV in an urban scene |
title_full_unstemmed | Spatio-temporal data analysis and accessibility method for IoV in an urban scene |
title_short | Spatio-temporal data analysis and accessibility method for IoV in an urban scene |
title_sort | spatio temporal data analysis and accessibility method for iov in an urban scene |
topic | Internet of vehicles spatio-temporal data analysis accessibility urban scene |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021110/ |
work_keys_str_mv | AT jiujuncheng spatiotemporaldataanalysisandaccessibilitymethodforiovinanurbanscene AT guiyuanyuan spatiotemporaldataanalysisandaccessibilitymethodforiovinanurbanscene AT jiecui spatiotemporaldataanalysisandaccessibilitymethodforiovinanurbanscene AT aiguozhou spatiotemporaldataanalysisandaccessibilitymethodforiovinanurbanscene AT bolyu spatiotemporaldataanalysisandaccessibilitymethodforiovinanurbanscene AT guangyaoli spatiotemporaldataanalysisandaccessibilitymethodforiovinanurbanscene |