Task distribution offloading algorithm of vehicle edge network based on DQN
In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierar...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2020-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020160/ |
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| _version_ | 1841539310490222592 |
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| author | Haitao ZHAO Tangwei ZHANG Yue CHEN Houlin ZHAO Hongbo ZHU |
| author_facet | Haitao ZHAO Tangwei ZHANG Yue CHEN Houlin ZHAO Hongbo ZHU |
| author_sort | Haitao ZHAO |
| collection | DOAJ |
| description | In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency. |
| format | Article |
| id | doaj-art-c8d156aeef184a128c25bd64496e9b02 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c8d156aeef184a128c25bd64496e9b022025-01-14T07:20:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-10-014117217859738096Task distribution offloading algorithm of vehicle edge network based on DQNHaitao ZHAOTangwei ZHANGYue CHENHoulin ZHAOHongbo ZHUIn order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020160/IoVMECcomputational offloadingDQNcomputational rate |
| spellingShingle | Haitao ZHAO Tangwei ZHANG Yue CHEN Houlin ZHAO Hongbo ZHU Task distribution offloading algorithm of vehicle edge network based on DQN Tongxin xuebao IoV MEC computational offloading DQN computational rate |
| title | Task distribution offloading algorithm of vehicle edge network based on DQN |
| title_full | Task distribution offloading algorithm of vehicle edge network based on DQN |
| title_fullStr | Task distribution offloading algorithm of vehicle edge network based on DQN |
| title_full_unstemmed | Task distribution offloading algorithm of vehicle edge network based on DQN |
| title_short | Task distribution offloading algorithm of vehicle edge network based on DQN |
| title_sort | task distribution offloading algorithm of vehicle edge network based on dqn |
| topic | IoV MEC computational offloading DQN computational rate |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020160/ |
| work_keys_str_mv | AT haitaozhao taskdistributionoffloadingalgorithmofvehicleedgenetworkbasedondqn AT tangweizhang taskdistributionoffloadingalgorithmofvehicleedgenetworkbasedondqn AT yuechen taskdistributionoffloadingalgorithmofvehicleedgenetworkbasedondqn AT houlinzhao taskdistributionoffloadingalgorithmofvehicleedgenetworkbasedondqn AT hongbozhu taskdistributionoffloadingalgorithmofvehicleedgenetworkbasedondqn |