Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm
Aiming at the problem of unreasonable resource allocation caused by the unloading decision in the multi-vehicle and multi-server IoV scenario, a two-stage heuristic IoV task offloading strategy was proposed.This strategy used the improved hybrid genetic algorithm (IHGA) and the improved artificial f...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022188/ |
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| _version_ | 1841539971910991872 |
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| author | Yuliang CONG Wenxi SUN Ke XUE Zhihong QIAN Mianshu CHEN |
| author_facet | Yuliang CONG Wenxi SUN Ke XUE Zhihong QIAN Mianshu CHEN |
| author_sort | Yuliang CONG |
| collection | DOAJ |
| description | Aiming at the problem of unreasonable resource allocation caused by the unloading decision in the multi-vehicle and multi-server IoV scenario, a two-stage heuristic IoV task offloading strategy was proposed.This strategy used the improved hybrid genetic algorithm (IHGA) and the improved artificial fish swarm algorithm (AFSA), combined with the system’s internal average overhead, delay and energy consumption requirements, the two improved algorithm was used for multiple iterations to achieve optimal resource allocation in the process of task unloading.The simulation results show that the proposed scheme can effectively reduce the system internal overhead and improve the task offloading efficiency compared with the benchmark scheme. |
| format | Article |
| id | doaj-art-5891872ccecc42219e7579b33a1db0c5 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-5891872ccecc42219e7579b33a1db0c52025-01-14T06:30:01ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-10-0143778559396135Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithmYuliang CONGWenxi SUNKe XUEZhihong QIANMianshu CHENAiming at the problem of unreasonable resource allocation caused by the unloading decision in the multi-vehicle and multi-server IoV scenario, a two-stage heuristic IoV task offloading strategy was proposed.This strategy used the improved hybrid genetic algorithm (IHGA) and the improved artificial fish swarm algorithm (AFSA), combined with the system’s internal average overhead, delay and energy consumption requirements, the two improved algorithm was used for multiple iterations to achieve optimal resource allocation in the process of task unloading.The simulation results show that the proposed scheme can effectively reduce the system internal overhead and improve the task offloading efficiency compared with the benchmark scheme.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022188/Internet of vehiclesoffloadinggenetic algorithmartificial fish swarm algorithm |
| spellingShingle | Yuliang CONG Wenxi SUN Ke XUE Zhihong QIAN Mianshu CHEN Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm Tongxin xuebao Internet of vehicles offloading genetic algorithm artificial fish swarm algorithm |
| title | Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm |
| title_full | Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm |
| title_fullStr | Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm |
| title_full_unstemmed | Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm |
| title_short | Research on task offloading strategy of Internet of vehicles based on improved hybrid genetic algorithm |
| title_sort | research on task offloading strategy of internet of vehicles based on improved hybrid genetic algorithm |
| topic | Internet of vehicles offloading genetic algorithm artificial fish swarm algorithm |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022188/ |
| work_keys_str_mv | AT yuliangcong researchontaskoffloadingstrategyofinternetofvehiclesbasedonimprovedhybridgeneticalgorithm AT wenxisun researchontaskoffloadingstrategyofinternetofvehiclesbasedonimprovedhybridgeneticalgorithm AT kexue researchontaskoffloadingstrategyofinternetofvehiclesbasedonimprovedhybridgeneticalgorithm AT zhihongqian researchontaskoffloadingstrategyofinternetofvehiclesbasedonimprovedhybridgeneticalgorithm AT mianshuchen researchontaskoffloadingstrategyofinternetofvehiclesbasedonimprovedhybridgeneticalgorithm |