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 |
| Published: |
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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| Summary: | 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. |
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| ISSN: | 1000-436X |