Resource allocation based on optimal transport theory in IoT edge computing
With the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resourc...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2021-06-01
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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.2096-3750.2021.00225/ |
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| _version_ | 1841533839191572480 |
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| author | Qi ZHANG Yuna JIANG Xiaohu GE Yonghui LI |
| author_facet | Qi ZHANG Yuna JIANG Xiaohu GE Yonghui LI |
| author_sort | Qi ZHANG |
| collection | DOAJ |
| description | With the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resources of edge networks need to be managed dynamically.The optimal transport theory was adopted to optimize the computation resources allocation in IoT networks.An optimized regional partition mechanism was proposed based on the distribution of IoT devices and locations of edge computing devices.Under constraints on the computing capabilities of edge computing devices, the energy consumption and delay of IoT devices were optimized.The simulation results show that, compared with the traditional Voronoi partition scheme, the proposed optimization mechanism shows better balance.The average transmitting power can be reduced by 21% and the average delay can be reduced by 45%. |
| format | Article |
| id | doaj-art-b351f6a0f1ce4aa3a50cb2c6b0af190a |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2021-06-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-b351f6a0f1ce4aa3a50cb2c6b0af190a2025-01-15T02:53:39ZzhoChina InfoCom Media Group物联网学报2096-37502021-06-015607059649944Resource allocation based on optimal transport theory in IoT edge computingQi ZHANGYuna JIANGXiaohu GEYonghui LIWith the development of the Internet of things (IoT) and edge computing, the computation-intensive tasks of IoT devices can be offloaded to edge devices and processed at the edge of networks.Due to the variation of the distribution and computation requirements of IoT devices, the computation resources of edge networks need to be managed dynamically.The optimal transport theory was adopted to optimize the computation resources allocation in IoT networks.An optimized regional partition mechanism was proposed based on the distribution of IoT devices and locations of edge computing devices.Under constraints on the computing capabilities of edge computing devices, the energy consumption and delay of IoT devices were optimized.The simulation results show that, compared with the traditional Voronoi partition scheme, the proposed optimization mechanism shows better balance.The average transmitting power can be reduced by 21% and the average delay can be reduced by 45%.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00225/internet of thingsedge computingresource allocationoptimal transport theoryenergy consumptiondelay |
| spellingShingle | Qi ZHANG Yuna JIANG Xiaohu GE Yonghui LI Resource allocation based on optimal transport theory in IoT edge computing 物联网学报 internet of things edge computing resource allocation optimal transport theory energy consumption delay |
| title | Resource allocation based on optimal transport theory in IoT edge computing |
| title_full | Resource allocation based on optimal transport theory in IoT edge computing |
| title_fullStr | Resource allocation based on optimal transport theory in IoT edge computing |
| title_full_unstemmed | Resource allocation based on optimal transport theory in IoT edge computing |
| title_short | Resource allocation based on optimal transport theory in IoT edge computing |
| title_sort | resource allocation based on optimal transport theory in iot edge computing |
| topic | internet of things edge computing resource allocation optimal transport theory energy consumption delay |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2021.00225/ |
| work_keys_str_mv | AT qizhang resourceallocationbasedonoptimaltransporttheoryiniotedgecomputing AT yunajiang resourceallocationbasedonoptimaltransporttheoryiniotedgecomputing AT xiaohuge resourceallocationbasedonoptimaltransporttheoryiniotedgecomputing AT yonghuili resourceallocationbasedonoptimaltransporttheoryiniotedgecomputing |