Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario
In the context of the Internet of vehicles, the placement and deployment number of edge servers directly affect the efficiency of edge computing.Due to the high cost of deploying a large edge server on a macro base station and a base station, it can be complemented by deploying a small edge server o...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2024-03-01
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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.2096-3750.2024.00382/ |
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| _version_ | 1841531356528508928 |
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| author | Sifeng ZHU Yu WANG Hao CHEN Hai ZHU Zhengyi CHAI Chengrui YANG |
| author_facet | Sifeng ZHU Yu WANG Hao CHEN Hai ZHU Zhengyi CHAI Chengrui YANG |
| author_sort | Sifeng ZHU |
| collection | DOAJ |
| description | In the context of the Internet of vehicles, the placement and deployment number of edge servers directly affect the efficiency of edge computing.Due to the high cost of deploying a large edge server on a macro base station and a base station, it can be complemented by deploying a small edge server on a micro base station, and the cost reduction needs to be optimized by optimizing the placement of large edge servers.In order to minimize the deployment cost and service delay of the edge server, and maximize the operator’s revenue and server load balance, the edge server placement problem combined with the vehicle networking user application service was modeled as a multi-objective optimization problem and a placement scheme based on improved NSGA-Ⅱ algorithm was proposed.The experimental results show that the proposed scheme can reduce the deployment cost of edge servers by about 44%, the latency by about 14.2%, and improve the revenue of operators by 24.2%, which has good application value. |
| format | Article |
| id | doaj-art-a4419a73d5bd4ddfaa1e9a3201797883 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2024-03-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-a4419a73d5bd4ddfaa1e9a32017978832025-01-15T02:51:39ZzhoChina InfoCom Media Group物联网学报2096-37502024-03-018849755296620Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenarioSifeng ZHUYu WANGHao CHENHai ZHUZhengyi CHAIChengrui YANGIn the context of the Internet of vehicles, the placement and deployment number of edge servers directly affect the efficiency of edge computing.Due to the high cost of deploying a large edge server on a macro base station and a base station, it can be complemented by deploying a small edge server on a micro base station, and the cost reduction needs to be optimized by optimizing the placement of large edge servers.In order to minimize the deployment cost and service delay of the edge server, and maximize the operator’s revenue and server load balance, the edge server placement problem combined with the vehicle networking user application service was modeled as a multi-objective optimization problem and a placement scheme based on improved NSGA-Ⅱ algorithm was proposed.The experimental results show that the proposed scheme can reduce the deployment cost of edge servers by about 44%, the latency by about 14.2%, and improve the revenue of operators by 24.2%, which has good application value.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00382/Internet of vehiclesedge computingedge server placement problemmulti-objective optimization algorithmNSGA-Ⅱ |
| spellingShingle | Sifeng ZHU Yu WANG Hao CHEN Hai ZHU Zhengyi CHAI Chengrui YANG Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario 物联网学报 Internet of vehicles edge computing edge server placement problem multi-objective optimization algorithm NSGA-Ⅱ |
| title | Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario |
| title_full | Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario |
| title_fullStr | Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario |
| title_full_unstemmed | Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario |
| title_short | Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario |
| title_sort | edge server deployment decision based on improved nsga ii in the internet of vehicles edge computing scenario |
| topic | Internet of vehicles edge computing edge server placement problem multi-objective optimization algorithm NSGA-Ⅱ |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00382/ |
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