CA3D: Computing Accessibility-Aware Cooperative 3D Deployment of Multiple UAVs
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866909053878272000 |
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| author | Deng, Yiqin Fang, Zihan Wang, Yijie Huang, Qingxiao Gao, Junhui Ren, Qianyao Fang, Yuguang |
| author_facet | Deng, Yiqin Fang, Zihan Wang, Yijie Huang, Qingxiao Gao, Junhui Ren, Qianyao Fang, Yuguang |
| contents | This letter investigates computing-accessibility-aware cooperative 3D deployment of multiple UAVs for task completion enhancement, termed CA3D. We first provide a theoretical analysis showing that computing accessibility is the key mechanism linking UAV deployment to delay-constrained task completion, and that UAV inter-spacing creates a fundamental tradeoff between computing-resource accessibility and task completion. We then develop a cooperative 3D deployment design that jointly balances accessible computing capacity, task completion probability, and redundant UAV overlap. Simulation results under heterogeneous computing node capacities show that CA3D consistently outperforms Random, Fixed, and Greedy deployment baselines under both hotspot and random ground user (GU) distributions. Under the hotspot GU distribution, CA3D achieves nearly full task completion, improving the task completion probability by about 3.3x over Random deployment when the number of UAVs is 8. Under a more challenging random GU distribution, CA3D still achieves about 35% higher task completion probability than the best baseline when the number of UAVs is 12. These results demonstrate that computing-accessibility-aware cooperative 3D deployment improves not only task completion but also robustness to GU distribution changes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_17852 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | CA3D: Computing Accessibility-Aware Cooperative 3D Deployment of Multiple UAVs Deng, Yiqin Fang, Zihan Wang, Yijie Huang, Qingxiao Gao, Junhui Ren, Qianyao Fang, Yuguang Networking and Internet Architecture This letter investigates computing-accessibility-aware cooperative 3D deployment of multiple UAVs for task completion enhancement, termed CA3D. We first provide a theoretical analysis showing that computing accessibility is the key mechanism linking UAV deployment to delay-constrained task completion, and that UAV inter-spacing creates a fundamental tradeoff between computing-resource accessibility and task completion. We then develop a cooperative 3D deployment design that jointly balances accessible computing capacity, task completion probability, and redundant UAV overlap. Simulation results under heterogeneous computing node capacities show that CA3D consistently outperforms Random, Fixed, and Greedy deployment baselines under both hotspot and random ground user (GU) distributions. Under the hotspot GU distribution, CA3D achieves nearly full task completion, improving the task completion probability by about 3.3x over Random deployment when the number of UAVs is 8. Under a more challenging random GU distribution, CA3D still achieves about 35% higher task completion probability than the best baseline when the number of UAVs is 12. These results demonstrate that computing-accessibility-aware cooperative 3D deployment improves not only task completion but also robustness to GU distribution changes. |
| title | CA3D: Computing Accessibility-Aware Cooperative 3D Deployment of Multiple UAVs |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2605.17852 |