Computation task offloading algorithm and system level simulation for vehicles
With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2019-09-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00120/ |
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| _version_ | 1841531157925068800 |
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| author | Qicheng ZENG Yuxuan SUN Sheng ZHOU |
| author_facet | Qicheng ZENG Yuxuan SUN Sheng ZHOU |
| author_sort | Qicheng ZENG |
| collection | DOAJ |
| description | With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing services.Aiming at the task offloading among vehicles,a distributed task offloading algorithm based on online learning was proposed to minimize the average offloading delay.Furthermore,a system-level simulation platform was built to evaluate the impact of vehicle density and number of tasks on the average offloading delay in both highway and urban scenarios.The results provide a reference for the resource allocation and deployment of task offloading in different traffic situations. |
| format | Article |
| id | doaj-art-48a43f6bb9bf4c87844998baa782654d |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2019-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-48a43f6bb9bf4c87844998baa782654d2025-01-15T02:52:36ZzhoChina InfoCom Media Group物联网学报2096-37502019-09-013626959644930Computation task offloading algorithm and system level simulation for vehiclesQicheng ZENGYuxuan SUNSheng ZHOUWith the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing services.Aiming at the task offloading among vehicles,a distributed task offloading algorithm based on online learning was proposed to minimize the average offloading delay.Furthermore,a system-level simulation platform was built to evaluate the impact of vehicle density and number of tasks on the average offloading delay in both highway and urban scenarios.The results provide a reference for the resource allocation and deployment of task offloading in different traffic situations.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00120/Internet of vehiclesVeinscomputation task offloadingsystem level simulation |
| spellingShingle | Qicheng ZENG Yuxuan SUN Sheng ZHOU Computation task offloading algorithm and system level simulation for vehicles 物联网学报 Internet of vehicles Veins computation task offloading system level simulation |
| title | Computation task offloading algorithm and system level simulation for vehicles |
| title_full | Computation task offloading algorithm and system level simulation for vehicles |
| title_fullStr | Computation task offloading algorithm and system level simulation for vehicles |
| title_full_unstemmed | Computation task offloading algorithm and system level simulation for vehicles |
| title_short | Computation task offloading algorithm and system level simulation for vehicles |
| title_sort | computation task offloading algorithm and system level simulation for vehicles |
| topic | Internet of vehicles Veins computation task offloading system level simulation |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00120/ |
| work_keys_str_mv | AT qichengzeng computationtaskoffloadingalgorithmandsystemlevelsimulationforvehicles AT yuxuansun computationtaskoffloadingalgorithmandsystemlevelsimulationforvehicles AT shengzhou computationtaskoffloadingalgorithmandsystemlevelsimulationforvehicles |