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协同计算在多无人机MEC网络优化中的应用

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为了提升多无人机移动边缘计算(MEC)网络的整体性能,本文通过介绍协同计算在多无人机MEC网络优化中的应用,详细分析了建立多无人机协同计算网络模型的过程,探讨了多种卸载模式下的优化求解方法,并对仿真结果进行了综合评估和优化.首先建立了包含无人机、地面终端以及通信链路的完整网络模型,为后续的优化工作奠定了基础.接着,针对不同卸载模式,本文采用了不同的优化算法进行求解,旨在降低系统能耗、提高任务完成效率.仿真结果表明,通过协同计算的应用,多无人机MEC网络在多种卸载模式下均能实现性能的优化,特别是在降低计算时延和提高资源利用率方面取得了显著效果.
Application of Collaborative Computing in Multi UAV MEC Network Optimization
Absrtact:In order to improve the overall performance of multi UAV mobile edge computing(MEC)network,this paper introduces the application of cooperative computing in the optimization of multi UAV MEC network,analyzes the process of building the model of multi UAV cooperative computing network in detail,discusses the optimization solution methods under various unloading modes,and comprehensively evaluates and optimizes the simulation results.Firstly,a complete network model including drones,ground terminals,and communication links was established,laying the foundation for subsequent optimization work.Subsequently,for different unloading modes,this article adopts different optimization algorithms for solving,aiming to reduce system energy consumption and improve task completion efficiency.The simulation results show that through the application of collaborative computing,the multi drone MEC network can achieve performance optimization in various offloading modes,especially in reducing computing latency and improving resource utilization,achieving significant results.

collaborative computingdronesMECnetworkoptimization

谭祖雁、莫一夫、李钰

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广东电网有限责任公司应急及风险管理中心,广东广州

协同计算 无人机 MEC 网络 优化

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(17)