Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks
In air-ground collaborative edge computing networks, the line-of-sight transmission links between an unmanned aerial vehicle (UAV) and ground users can improve computation offloading performance. However, the broadcast nature of wireless channels also poses a security risk to the private information...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2025-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025130/ |
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| _version_ | 1849398313722314752 |
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| author | WU Mengru KONG Yawei HAN Huimei LU Haiquan SI Peiyuan LU Weidang GUO Lei |
| author_facet | WU Mengru KONG Yawei HAN Huimei LU Haiquan SI Peiyuan LU Weidang GUO Lei |
| author_sort | WU Mengru |
| collection | DOAJ |
| description | In air-ground collaborative edge computing networks, the line-of-sight transmission links between an unmanned aerial vehicle (UAV) and ground users can improve computation offloading performance. However, the broadcast nature of wireless channels also poses a security risk to the private information of computation tasks. To address this issue, a security-driven multi-domain resource collaboration optimization scheme was proposed. Considering dual secrecy rate constraints and resource limitations suffered by a UAV server, UAV service caching, computation offloading decisions of ground devices, resource allocation, and UAV deployment were jointly optimized to minimize the task completion delay of ground devices. Since the formulated problem was a mixed-integer nonlinear programming problem that was difficult to solve, an effective bi-level optimization algorithm was developed based on alternating optimization and cross-entropy methods. Simulation results demonstrate that the proposed scheme converges rapidly and reduces the task processing delay compared to baselines. |
| format | Article |
| id | doaj-art-6906cedc520f4f1e88efde130c8228bf |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-6906cedc520f4f1e88efde130c8228bf2025-08-20T03:38:39ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2025-07-0146132144120191619Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networksWU MengruKONG YaweiHAN HuimeiLU HaiquanSI PeiyuanLU WeidangGUO LeiIn air-ground collaborative edge computing networks, the line-of-sight transmission links between an unmanned aerial vehicle (UAV) and ground users can improve computation offloading performance. However, the broadcast nature of wireless channels also poses a security risk to the private information of computation tasks. To address this issue, a security-driven multi-domain resource collaboration optimization scheme was proposed. Considering dual secrecy rate constraints and resource limitations suffered by a UAV server, UAV service caching, computation offloading decisions of ground devices, resource allocation, and UAV deployment were jointly optimized to minimize the task completion delay of ground devices. Since the formulated problem was a mixed-integer nonlinear programming problem that was difficult to solve, an effective bi-level optimization algorithm was developed based on alternating optimization and cross-entropy methods. Simulation results demonstrate that the proposed scheme converges rapidly and reduces the task processing delay compared to baselines.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025130/unmanned aerial vehiclemobile edge computingservice cachingcomputation offloadingphysical-layer security |
| spellingShingle | WU Mengru KONG Yawei HAN Huimei LU Haiquan SI Peiyuan LU Weidang GUO Lei Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks Tongxin xuebao unmanned aerial vehicle mobile edge computing service caching computation offloading physical-layer security |
| title | Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks |
| title_full | Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks |
| title_fullStr | Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks |
| title_full_unstemmed | Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks |
| title_short | Security-driven service caching and computation offloading strategy in air-ground collaborative edge computing networks |
| title_sort | security driven service caching and computation offloading strategy in air ground collaborative edge computing networks |
| topic | unmanned aerial vehicle mobile edge computing service caching computation offloading physical-layer security |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2025130/ |
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