Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption

Gaofeng CUI; Yuanyuan XU; Shanghong ZHANG; Weidong WANG

doi:10.11959/j.issn.1000-436x.2021085

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Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption

Papers | 更新时间：2024-06-06

- Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption
- Journal on Communications Vol. 42, Issue 5, Pages: 51-62(2021)
- 作者机构：
  
  1. 北京邮电大学电子工程学院，北京 100876
  2. 北京邮电大学泛网无线通信教育部重点实验室，北京 100876
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61971054);The National Natural Science Foundation of China(61601045)
- DOI：10.11959/j.issn.1000-436x.2021085
  CLC： TN92
- Online First：2021-05，
  
  Published：25 May 2021
- 稿件说明：
移动端阅览
Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, et al. Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption[J]. Journal on Communications, 2021, 42(5): 51-62.
DOI：

Gaofeng CUI, Yuanyuan XU, Shanghong ZHANG, et al. Secure data offloading strategy for multi-UAV wireless networks based on minimum energy consumption[J]. Journal on Communications, 2021, 42(5): 51-62. DOI： 10.11959/j.issn.1000-436x.2021085.

摘要

为了解决地面用户向多无人机边缘计算网络卸载数据时存在的地面被动窃听问题，提出了一种通过联合优化用户匹配和资源分配使系统能耗最小化的安全数据卸载策略。考虑了系统时延、通信资源、计算资源的限制，采用保密中断概率对数据卸载过程的安全性能进行约束。利用块坐标下降和连续凸近似算法联合优化用户发送功率、卸载因子、无人机计算资源分配、干扰功率，并基于成对稳定的用户匹配算法最小化无人机系统总能耗。仿真数据表明，该算法可以实现数据的安全卸载，并且在能耗、时延等性能上优于传统策略。

Abstract

To solve the problems of ground passive eavesdropping when ground users offload data to the multi-UAV(unmanned aerial vehicle) edge computing network

a secure data offloading strategy that minimized system energy consumption by jointly optimizing user matching and resource allocation was proposed.Considering the constraints of system delay

communication resources and computing resources

the probability of security interruption was used to restrict the security performance of the data offload process.By using block coordinate descent and successive convex approximation algorithm

the user transmission power

offload factor

UAV computing resource allocation and jamming power were jointly optimized.A pair-wise stable user matching algorithm was proposed to minimize the total energy consumption of UAV system.Simulation results demonstrate that the algorithm can realize the safe offloading of data

and has good performance in energy consumption and delay by comparing with the conventional strategies.

关键词

Keywords

references

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