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区块链辅助无人机移动边缘计算系统的性能优化

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在用户密集场景中,传统地面基站难以满足用户对网络速度和稳定性的需求.为此,引入无人机搭载的移动边缘计算服务器基站,不仅可缓解地面基站压力,还可以降低建设成本.然而,边缘节点交互和UAV网络的广播特性威胁数据与隐私安全.为此,文章引入区块链技术的去中心化和安全特性,提出改进的基于投票的委托权益证明共识机制,以保障UAV辅助的物联网系统通信安全.最后,以最大化总计算量为目标,联合优化用户带宽分配、UAV飞行轨迹、本地计算以及任务卸载时间分配.文章采用块坐标下降算法和连续凸逼近技术求解该优化问题,得到的仿真实验结果显示,与分别固定无人机、带宽和轨迹方案相比,文章提出的方案在计算系统数据总量上分别提升了 24.51%、7.11%和 4.37%.
Performance Optimization of Blockchain-Assisted Unmanned Aerial Vehicle Mobile Edge Computing System
In scenarios with high user density such as large-scale highly interconnected events,traditional ground base stations are difficult to meet the demands for network speed and stability.Therefore,the introduction of unmanned aerial vehicle(UAV)equipped with mobile edge computing(MEC)server base stations can not only alleviate the pressure on ground base stations but also reduce construction costs.However,the interaction of edge nodes and the broadcast nature of UAV networks pose threats to data security and privacy.To address this,the decentralization and security features of blockchain technology were integrated,and an improved delegated proof of stake(DPoS)consensus mechanism based on voting was proposed to ensure the security of UAV-assisted internet of things(IoT)system communications.Ultimately,the goal is to maximize the total computational capacity by jointly optimizing the allocation of user bandwidth,UAV flight trajectories,local computing,and task offloading time.This paper proposed to solve the optimization problem using the block coordinate descent(BCD)algorithm and the successive convex approximation(SCA)technique.Simulation results show that compared with the schemes of fixing unmanned aerial vehicles,bandwidth and trajectory respectively,the scheme proposed in this paper has increased the total computing capacity by 24.51%,7.11%and 4.37%respectively in terms of maximization.

UAV communicationmobile edge computingblockchaintrajectory optimizationcommunication security

余礼苏、李彪、姚元志、温家进、黎子鹏、王振

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南昌大学信息工程学院,南昌 330031

无人机通信 移动边缘计算 区块链 轨迹优化 通信安全

国家自然科学基金江西省主要学科学术和技术带头人省级人才项目江西省自然科学基金江西省自然科学基金中国博士后科学基金特别资助(站前)项目中国博士后科学基金面上资助项目

6216102420232BCJ2308520224BAB21200220232BAB2120022021TQ01362022M711463

2024

10.3969/j.issn.1671-1122.2024.09.011

信息网络安全
公安部第三研究所　中国计算机学会计算机安全专业委员会

信息网络安全

CSTPCDCHSSCD北大核心
影响因子：0.814
ISSN：1671-1122
年,卷(期)：2024.24(9)